-
Notifications
You must be signed in to change notification settings - Fork 2.3k
Collapse file tree
Files
/
Copy pathcvpr_2019_githublinks.csv
More file actions
More file actions
executable file
·1295 lines (1295 loc) · 212 KB
/
cvpr_2019_githublinks.csv
1 | No | title | github/code | paper reading article | project link | Catorgory | Oral day | Oral session | Oral time | Poster day | Poster session | Poster # | First author | Author |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | 304 | A Simple Pooling-Based Design for Real-Time Salient Object Detection | http://mmcheng.net/poolnet/ | Tuesday | Poster 1.2 | 163 | Jiang-Jiang Liu | Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang | ||||||
3 | 305 | DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds | https://ai4ce.github.io/DeepMapping/ | Thursday | Oral 3.1A | 9:47 | Thursday | Poster 3.1 | 203 | Li Ding | Li Ding, Chen Feng | |||
4 | 306 | Action Recognition From Single Timestamp Supervision in Untrimmed Videos | https://bitbucket.org/dmoltisanti/action_recognition_single_timestamps/src/master/ | https://dimadamen.github.io/single_timestamps/ | Thursday | Poster 3.1 | 129 | Davide Moltisanti | Davide Moltisanti, Sanja Fidler, Dima Damen | |||||
5 | 307 | FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization | https://bitbucket.org/gaowei19951004/poser/src/master/ | Thursday | Oral 3.2C | 14:34 | Thursday | Poster 3.2 | 158 | Wei Gao | Wei Gao, Russ Tedrake | |||
6 | 117 | Unsupervised Deep Tracking | https://github.com/594422814/UDT | Tuesday | Poster 1.1 | 132 | Ning Wang | Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li | ||||||
7 | 308 | Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence | https://github.com/A2Zadeh/Social-IQ | Thursday | Oral 3.1B | 9:52 | Thursday | Poster 3.1 | 91 | Amir Zadeh | ||||
8 | 1059 | All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation | https://github.com/a514514772/DISE-Domain-Invariant-Structure-Extraction | Tuesday | Poster 1.1 | 192 | Wei-Lun Chang | |||||||
9 | 309 | Reflection Removal Using a Dual-Pixel Sensor | https://github.com/abhijithpunnappurath/dprr | https://abhijithpunnappurath.github.io/dprr | Tuesday | Poster 1.1 | 157 | Abhijith Punnappurath | Abhijith Punnappurath ,Michael S. Brown | |||||
10 | 261 | Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation | https://github.com/aimagelab/art2real | Wednesday | Poster 2.1 | 161 | Matteo Tomei | Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara | ||||||
11 | 150 | Latent Space Autoregression for Novelty Detection | https://github.com/aimagelab/novelty-detection | Tuesday | Poster 1.1 | 25 | Davide Abati | Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara | ||||||
12 | 96 | Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions | https://github.com/aimagelab/show-control-and-tell | Wednesday | Poster 2.2 | 195 | Marcella Cornia | Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara | ||||||
13 | 123 | Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects | https://github.com/airalcorn2/strike-with-a-pose | Wednesday | Poster 2.1 | 29 | Michael A. Alcorn | Michael A. Alcorn, Qi Li, Zhitao Gong, Chengfei Wang, Long Mai, Wei-Shinn Ku, Anh Nguyen | ||||||
14 | 310 | Learning 3D Human Dynamics From Video | https://github.com/akanazawa/human_dynamics? | Wednesday | Poster 2.1 | 122 | Angjoo Kanazawa | Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik | ||||||
15 | 311 | Video Action Transformer Network | https://github.com/alainray/action_transformer | Tuesday | Oral 1.1C | 9:00 | Tuesday | Poster 1.1 | 109 | Rohit Girdhar | Rohit Girdhar, Jo?o Carreira, Carl Doersch, Andrew Zisserman | |||
16 | 312 | Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction | https://github.com/alexklwong/adareg-monodispnet | Wednesday | Poster 2.1 | 125 | Alex Wong | Alex Wong, Byung-Woo Hong, Stefano Soatto | ||||||
17 | 81 | Animating Arbitrary Objects via Deep Motion Transfer | https://github.com/AliaksandrSiarohin/monkey-net | Tuesday | Oral 1.2B | 14:06 | Tuesday | Poster 1.2 | 124 | Aliaksandr Siarohin | Aliaksandr Siarohin,?Stéphane Lathuilière,?Sergey Tulyakov,?Elisa Ricci,?Nicu Sebe | |||
18 | 194 | ELASTIC: Improving CNNs With Dynamic Scaling Policies | https://github.com/allenai/elastic | Tuesday | Oral 1.2A | 14:42 | Tuesday | Poster 1.2 | 30 | Huiyu Wang | Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan Yuille, Mohammad Rastegari | |||
19 | 129 | Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning | https://github.com/allenai/savn | Wednesday | Oral 2.2B | 15:10 | Wednesday | Poster 2.2 | 194 | Mitchell Wortsman | Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi | |||
20 | 636 | Argoverse: 3D Tracking and Forecasting With Rich Maps | https://github.com/alliecc/argoverse_baselinetracker | Thursday | Oral 3.1B | 9:16 | Thursday | Poster 3.1 | 85 | Ming-Fang Chang | ||||
21 | 59 | Recurrent Back-Projection Network for Video Super-Resolution | https://github.com/alterzero/RBPN-PyTorch | https://alterzero.github.io/projects/RBPN.html | Tuesday | Poster 1.2 | 161 | Muhammad Haris | Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita? | |||||
22 | 242 | Trust Region Based Adversarial Attack on Neural Networks | https://github.com/amirgholami/trattack | Thursday | Poster 3.2 | 38 | Zhewei Yao | Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael Mahoney | ||||||
23 | 313 | GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices | https://github.com/amnonge/GPSFM-Code | Tuesday | Poster 1.2 | 79 | Yoni Kasten | Yoni Kasten* Amnon Geifman* Meirav Galun Ronen Basri | ||||||
24 | 314 | Depth From a Polarisation + RGB Stereo Pair | https://github.com/AmosZhu/CVPR2019 | Wednesday | Poster 2.2 | 86 | Dizhong Zhu | Dizhong Zhu, William A.P. Smith | ||||||
25 | 315 | Improved Road Connectivity by Joint Learning of Orientation and Segmentation | https://github.com/anilbatra2185/road_connectivity | Thursday | Poster 3.1 | 177 | Anil Batra | Anil Batra,Suriya Singh,Guan Pang,Saikat Basu,C.V. Jawahar1 Manohar Paluri | ||||||
26 | 162 | Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval | https://github.com/AnjanDutta/sem-pcyc | Wednesday | Poster 2.1 | 54 | Anjan Dutta | Anjan Dutta, Zeynep Akata | ||||||
27 | 205 | Unsupervised Learning of Action Classes With Continuous Temporal Embedding | https://github.com/annusha/unsup_temp_embed | Thursday | Poster 3.2 | 129 | Anna Kukleva | Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall | ||||||
28 | 316 | Bringing Alive Blurred Moments | https://github.com/anshulbshah/Blurred-Image-to-Video | Wednesday | Oral 2.2C | 14:11 | Wednesday | Poster 2.2 | 137 | Kuldeep Purohit | ||||
29 | 55 | Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation | https://github.com/anuragranj/cc | Thursday | Poster 3.2 | 165 | Anurag Ranjan | Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black? | ||||||
30 | 317 | Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation | https://github.com/apple/ml-cvpr2019-swd | Thursday | Poster 3.1 | 167 | Chen-Yu Lee | Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht | ||||||
31 | 747 | Attentive Feedback Network for Boundary-Aware Salient Object Detection | https://github.com/ArcherFMY/AFNet | Tuesday | Poster 1.1 | 164 | Mengyang Feng | |||||||
32 | 1224 | Viewport Proposal CNN for 360deg Video Quality Assessment | https://github.com/Archer-Tatsu/V-CNN | Thursday | Poster 3.1 | 156 | Chen Li | |||||||
33 | 318 | Zero-Shot Task Transfer | https://github.com/ArghyaPal/Zero-shot-task-transfer | Tuesday | Oral 1.2A | 13:58 | Tuesday | Poster 1.2 | 23 | Arghya Pal | ||||
34 | 282 | A-CNN: Annularly Convolutional Neural Networks on Point Clouds | https://github.com/artemkomarichev/a-cnn | Wednesday | Poster 2.2 | 69 | Artem Komarichev | Artem Komarichev, Zichun Zhong, Jing Hua | ||||||
35 | 319 | Automatic Adaptation of Object Detectors to New Domains Using Self-Training | https://github.com/AruniRC/detectron-self-train | http://vis-www.cs.umass.edu/self-train/ | Tuesday | Poster 1.1 | 55 | Aruni RoyChowdhury | Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao and Erik Learned-Miller | |||||
36 | 320 | PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds | https://github.com/aseembehl/pointflownet | Wednesday | Poster 2.2 | 124 | Aseem Behl | Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger | ||||||
37 | 321 | LAEO-Net: Revisiting People Looking at Each Other in Videos | https://github.com/AVAuco/ucolaeodb | http://www.robots.ox.ac.uk/~vgg/research/laeonet? | Tuesday | Poster 1.2 | 100 | Manuel J. Marin-Jimenez | Manuel J Marin-Jimenez,Vicky Kalogeiton,Pablo Medina-Suarez,Andrew Zisserman | |||||
38 | 239 | Noise-Aware Unsupervised Deep Lidar-Stereo Fusion | https://github.com/AvrilCheng/LidarStereoNet | Wednesday | Poster 2.1 | 211 | Xuelian Cheng | Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li | ||||||
39 | 322 | Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning | https://github.com/AyanKumarBhunia/Handwriting_Recogition_using_Adversarial_Learning? | Wednesday | Poster 2.1 | 21 | Ayan Kumar Bhunia | Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy | ||||||
40 | 92 | Depth-Aware Video Frame Interpolation | https://github.com/baowenbo/DAIN | Tuesday | Poster 1.2 | 141 | Wenbo Bao | Wenbo Bao Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang | ||||||
41 | 69 | GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction | https://github.com/barisgecer/ganfit | Tuesday | Poster 1.1 | 105 | Baris Gecer | Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou | ||||||
42 | 323 | RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation | https://github.com/bastianwandt/RepNet | Wednesday | Poster 2.2 | 106 | Bastian Wandt | Bastian Wandt, Bodo Rosenhahn | ||||||
43 | 324 | End-To-End Projector Photometric Compensation | https://github.com/BingyaoHuang/compennet? | Wednesday | Oral 2.2C | 13:58 | Wednesday | Poster 2.2 | 135 | Bingyao Huang | Bingyao Huang, Haibin Ling | |||
44 | 185 | A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images | https://github.com/bmmi/denoising-fluorescence | Thursday | Poster 3.2 | 75 | Yide Zhang | Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, Scott Howard | ||||||
45 | 184 | Deep RNN Framework for Visual Sequential Applications | https://github.com/BoPang1996/Deep-RNN-Framework | Tuesday | Poster 1.1 | 19 | Bo Pang | Bo Pang, Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu | ||||||
46 | 325 | 3D Hand Shape and Pose From Images in the Wild | https://github.com/boukhayma/3dhand | Thursday | Oral 3.2B | 13:53 | Thursday | Poster 3.2 | 96 | Adnane Boukhayma | Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr | |||
47 | 151 | DeepCaps: Going Deeper With Capsule Networks | https://github.com/brjathu/deepcaps | Thursday | Oral 3.2A | 14:29 | Thursday | Poster 3.2 | 11 | Jathushan Rajasegaran | Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo | |||
48 | 84 | MUREL: Multimodal Relational Reasoning for Visual Question Answering | https://github.com/Cadene/murel.bootstrap.pytorch | https://zhuanlan.zhihu.com/p/60972299 | Tuesday | Poster 1.1 | 201 | Remi Cadene | Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome | |||||
49 | 326 | Pyramid Feature Attention Network for Saliency Detection | https://github.com/CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection | Tuesday | Poster 1.2 | 61 | Ting Zhao | Ting Zhao, Xiangqian Wu | ||||||
50 | 902 | See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks | https://github.com/carrierlxk/COSNet | Tuesday | Poster 1.2 | 115 | Xiankai Lu | |||||||
51 | 327 | Zoom to Learn, Learn to Zoom | https://github.com/ceciliavision/zoom-learn-zoom | https://ceciliavision.github.io/project-pages/project-zoom.html? | Tuesday | Poster 1.2 | 147 | Xuaner Zhang | Xuaner Cecilia Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun | |||||
52 | 206 | Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network | https://github.com/chaneyddtt/Generating-Multiple-Hypotheses-for-3D-Human-Pose-Estimation-with-Mixture-Density-Network | Thursday | Poster 3.1 | 126 | Chen Li | Chen Li, Gim Hee Lee | ||||||
53 | 328 | Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval | https://github.com/chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning? | Tuesday | Poster 1.2 | 9 | Binghui Chen | Binghui Chen, Weihong Deng | ||||||
54 | 82 | Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction | https://github.com/chenhsuanlin/photometric-mesh-optim | https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/ | Tuesday | Poster 1.1 | 86 | Chen-Hsuan Lin | Pelin Dogan, Leonid Sigal, Markus Gross | |||||
55 | 118 | Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images | https://github.com/chenwydj/ultra_high_resolution_segmentation | Thursday | Oral 3.1C | 9:34 | Thursday | Poster 3.1 | 66 | Wuyang Chen | Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian | |||
56 | 329 | Fully Automatic Video Colorization With Self-Regularization and Diversity | https://github.com/ChenyangLEI/Fully-Automatic-Video-Colorization-with-Self-Regularization-and-Diversity | Tuesday | Poster 1.2 | 146 | Chenyang Lei | |||||||
57 | 330 | Multi-Label Image Recognition With Graph Convolutional Networks | https://github.com/chenzhaomin123/ML_GCN | Wednesday | Poster 2.1 | 63 | Zhao-Min Chen | Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo | ||||||
58 | 80 | Learning Attraction Field Representation for Robust Line Segment Detection | https://github.com/cherubicXN/afm_cvpr2019 | Tuesday | Poster 1.1 | 161 | Nan Xue | Nan Xue,?Song Bai,?Fudong Wang,?Gui-Song Xia,?Tianfu Wu,?Liangpei Zhang | ||||||
59 | 101 | The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation | https://github.com/chihyaoma/regretful-agent | Wednesday | Oral 2.2B | 15:00 | Wednesday | Poster 2.2 | 192 | Chih-Yao Ma | Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira | |||
60 | 262 | Iterative Residual CNNs for Burst Photography Applications | https://github.com/cig-skoltech/burst-cvpr-2019 | Wednesday | Poster 2.1 | 169 | Filippos Kokkinos | Filippos Kokkinos ? Stamatis Lefkimmiatis | ||||||
61 | 119 | Improving Transferability of Adversarial Examples With Input Diversity | https://github.com/cihangxie/DI-2-FGSM | Tuesday | Poster 1.2 | 7 | Cihang Xie | Cihang Xie; Yuyin Zhou; Song Bai; Zhishuai Zhang; Jianyu Wang; Zhou Ren; Alan Yuille | ||||||
62 | 132 | TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments | https://github.com/clic-lab/touchdown | Thursday | Poster 3.2 | 195 | Howard Chen | Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi | ||||||
63 | 679 | Character Region Awareness for Text Detection | https://github.com/clovaai/CRAFT-pytorch | Thursday | Poster 3.1 | 43 | Youngmin Baek | |||||||
64 | 563 | Monocular Total Capture: Posing Face, Body, and Hands in the Wild | https://github.com/CMU-Perceptual-Computing-Lab/MonocularTotalCapture | http://domedb.perception.cs.cmu.edu/monototalcapture.html | Thursday | Oral 3.2B | 15:05 | Thursday | Poster 3.2 | 108 | Donglai Xiang | Donglai Xiang, Hanbyul Joo, Yaser Sheikh | ||
65 | 68 | Panoptic Segmentation | https://github.com/cocodataset/panopticapi | Thursday | Poster 3.1 | 47 | Alexander Kirillov | Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang | ||||||
66 | 331 | Towards Natural and Accurate Future Motion Prediction of Humans and Animals | https://github.com/CoderStellaJ/Hierarchical-Motion-Recurrent-Network-Website | https://coderstellaj.github.io/Hierarchical-Motion-Recurrent-Network-Website/ | Thursday | Poster 3.1 | 138 | Zhenguang Liu | Zhenguang Liu (Zhejiang Gongshang University)*; Shuang Wu (Nanyang Technological University); Shuyuan Jin (NUS); Qi Liu (National University of Singapore); Shijian Lu (Nanyang Technological University); Roger Zimmermann (NUS); Li Cheng (University of Alberta) | |||||
67 | 1067 | Deep Defocus Map Estimation Using Domain Adaptation | https://github.com/codeslake/SYNDOF | Thursday | Poster 3.2 | 145 | Junyong Lee | |||||||
68 | 332 | COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis | https://github.com/coin-dataset/code | https://mp.weixin.qq.com/s/YFmgdIEfLCvL5LLGQ0vesw | https://coin-dataset.github.io/ | Tuesday | Poster 1.1 | 122 | Yansong Tang | Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou | ||||
69 | 333 | Context-Aware Crowd Counting | https://github.com/CommissarMa/Context-Aware_Crowd_Counting-pytorch | Wednesday | Poster 2.1 | 55 | Weizhe Liu | Weizhe Liu, Mathieu Salzmann, Pascal Fua | ||||||
70 | 334 | Acoustic Non-Line-Of-Sight Imaging | https://github.com/computational-imaging/AcousticNLOS | http://www.computationalimaging.org/publications/acoustic-non-line-of-sight-imaging/ | Wednesday | Oral 2.2C | 13:40 | Wednesday | Poster 2.2 | 132 | David B. Lindell | David B. Lindell, Gordon Wetzstein, Vladlen Koltun | ||
71 | 335 | Divide and Conquer the Embedding Space for Metric Learning | https://github.com/CompVis/metric-learning-divide-and-conquer | Tuesday | Poster 1.1 | 24 | Artsiom Sanakoyeu | Sanakoyeu, Artsiom and Tschernezki, Vadim and B\"uchler, Uta and Ommer, Bj\"orn | ||||||
72 | 1277 | A Neural Temporal Model for Human Motion Prediction | https://github.com/cr7anand/neural_temporal_models | Thursday | Poster 3.2 | 134 | Anand Gopalakrishnan | |||||||
73 | 130 | Progressive Image Deraining Networks: A Better and Simpler Baseline | https://github.com/csdwren/PReNet | Tuesday | Poster 1.2 | 165 | Dongwei Ren | Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng | ||||||
74 | 186 | Supervised Fitting of Geometric Primitives to 3D Point Clouds | https://github.com/csimstu2/SPFN | Tuesday | Oral 1.2C | 15:05 | Tuesday | Poster 1.2 | 182 | Lingxiao Li | Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas Guibas | |||
75 | 336 | STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing | https://github.com/csmliu/STGAN? | Tuesday | Poster 1.2 | 138 | Ming Liu | Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen | ||||||
76 | 28 | Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels | https://github.com/cszn/DPSR | Tuesday | Poster 1.1 | 169 | Kai Zhang | Kai Zhang, Wangmeng Zuo, Lei Zhang | ||||||
77 | 192 | Segmentation-Driven 6D Object Pose Estimation | https://github.com/cvlab-epfl/segmentation-driven-pose | Tuesday | Poster 1.2 | 91 | Yinlin Hu | Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann | ||||||
78 | 179 | Learning to Adapt for Stereo | https://github.com/CVLAB-Unibo/Learning2AdaptForStereo | Thursday | Poster 3.1 | 103 | Alessio Tonioni | Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr | ||||||
79 | 76 | Real-Time Self-Adaptive Deep Stereo | https://github.com/CVLAB-Unibo/Real-time-self-adaptive-deep-stereo | Tuesday | Oral 1.1B | 9:41 | Tuesday | Poster 1.1 | 79 | Alessio Tonioni | Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano? | |||
80 | 337 | Example-Guided Style-Consistent Image Synthesis From Semantic Labeling | https://github.com/cxjyxxme/pix2pixSC | Tuesday | Poster 1.1 | 151 | Miao Wang | Miao Wang1, Guo-Ye Yang2, Ruilong Li2, Run-Ze Liang2, Song-Hai Zhang2, Peter M. Hall3?and Shi-Min Hu | ||||||
81 | 62 | Rethinking Knowledge Graph Propagation for Zero-Shot Learning | https://github.com/cyvius96/adgpm | Thursday | Poster 3.2 | 52 | Michael Kampffmeyer | Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing | ||||||
82 | 56 | Learning Implicit Fields for Generative Shape Modeling | https://github.com/czq142857/implicit-decoder? | Wednesday | Poster 2.1 | 170 | Zhiqin Chen | Zhiqin Chen, Hao Zhang | ||||||
83 | 14 | PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding | https://github.com/daerduoCarey/partnet_dataset | https://cs.stanford.edu/~kaichun/partnet/ | Tuesday | Poster 1.1 | 68 | Kaichun Mo | Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su | |||||
84 | 338 | Visual Tracking via Adaptive Spatially-Regularized Correlation Filters | https://github.com/Daikenan/ASRCF | Wednesday | Oral 2.1C | 9:29 | Wednesday | Poster 2.1 | 145 | Kenan Dai | Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li | |||
85 | 339 | Second-Order Attention Network for Single Image Super-Resolution | https://github.com/daitao/SAN | Thursday | Oral 3.2C | 14:16 | Thursday | Poster 3.2 | 155 | Tao Dai | ||||
86 | 340 | Dual Encoding for Zero-Example Video Retrieval | https://github.com/danieljf24/dual_encoding | Thursday | Poster 3.1 | 41 | Jianfeng Dong | Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang and Xun Wang | ||||||
87 | 341 | MAGSAC: Marginalizing Sample Consensus | https://github.com/danini/magsac | Thursday | Poster 3.1 | 158 | Daniel Barath | |||||||
88 | 957 | Disentangling Adversarial Robustness and Generalization | https://github.com/davidstutz/cvpr2019-adversarial-robustness | Wednesday | Poster 2.2 | 5 | David Stutz | |||||||
89 | 512 | Few-Shot Learning With Localization in Realistic Settings | https://github.com/daviswer/fewshotlocal | Wednesday | Oral 2.2A | 15:05 | Wednesday | Poster 2.2 | 41 | Davis Wertheimer | ||||
90 | 231 | Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention | https://github.com/debadeepta/vnla | Thursday | Poster 3.2 | 194 | Khanh Nguyen | Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan | ||||||
91 | 15 | ABC: A Big CAD Model Dataset for Geometric Deep Learning | https://github.com/deep-geometry/abc-dataset? | Thursday | Poster 3.1 | 97 | Sebastian Koch | Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo | ||||||
92 | 4 | ArcFace: Additive Angular Margin Loss for Deep Face Recognition | https://github.com/deepinsight/insightface | Wednesday | Oral 2.1C | 9:42 | Wednesday | Poster 2.1 | 147 | Jiankang Deng | Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou | |||
93 | 342 | Exploiting Temporal Context for 3D Human Pose Estimation in the Wild | https://github.com/deepmind/Temporal-3D-Pose-Kinetics? | Tuesday | Poster 1.2 | 92 | Anurag Arnab | Anurag Arnab, Carl Doersch, Andrew Zisserman | ||||||
94 | 343 | Shifting More Attention to Video Salient Object Detection | https://github.com/DengPingFan/DAVSOD | Thursday | Oral 3.1A | 8:48 | Thursday | Poster 3.1 | 193 | Deng-Ping Fan | Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen | |||
95 | 144 | Transferable Interactiveness Knowledge for Human-Object Interaction Detection | https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network | Tuesday | Poster 1.2 | 111 | Yong-Lu Li | Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu | ||||||
96 | 293 | Beyond Gradient Descent for Regularized Segmentation Losses | https://github.com/dmitrii-marin/adm-seg | Thursday | Poster 3.1 | 157 | Dmitrii Marin | Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov | ||||||
97 | 6 | Bag of Tricks for Image Classification with Convolutional Neural Networks | https://github.com/dmlc/gluon-cv | Tuesday | Poster 1.1 | 33 | Tong He | Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li | ||||||
98 | 251 | Cross-Task Weakly Supervised Learning From Instructional Videos | https://github.com/DmZhukov/CrossTask | Tuesday | Poster 1.2 | 106 | Dimitri Zhukov | Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic | ||||||
99 | 207 | LiFF: Light Field Features in Scale and Depth | https://github.com/doda42/LiFF | Wednesday | Poster 2.2 | 150 | Donald G. Dansereau | Donald G. Dansereau, Bernd Girod, Gordon Wetzstein | ||||||
100 | 344 | Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning | https://github.com/Dong-JinKim/DenseRelationalCaptioning | Wednesday | Poster 2.1 | 204 | Dong-Jin Kim | Done by Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, and In So Kweon | ||||||
101 | 345 | Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells | https://github.com/DrSleep/nas-segm-pytorch | Thursday | Poster 3.1 | 18 | Vladimir Nekrasov | Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian Reid | ||||||
102 | 346 | OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks | https://github.com/dsfour/OICSR | Wednesday | Poster 2.2 | 12 | Jiashi Li | Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun | ||||||
103 | 347 | CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation | https://github.com/dumyy/handpose | Thursday | Poster 3.1 | 127 | Kuo Du | Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma | ||||||
104 | 348 | Searching for a Robust Neural Architecture in Four GPU Hours | https://github.com/D-X-Y/GDAS? | Tuesday | Poster 1.1 | 178 | Xuanyi Dong | Xuanyi Dong, Yi Yang | ||||||
105 | 52 | PointConv: Deep Convolutional Networks on 3D Point Clouds | https://github.com/DylanWusee/pointconv | Thursday | Poster 3.1 | 99 | Wenxuan Wu | Wenxuan Wu, Zhongang Qi, Li Fuxin | ||||||
106 | 163 | Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders | https://github.com/edgarschnfld/CADA-VAE-PyTorch | Wednesday | Poster 2.2 | 171 | Edgar Schonfeld | Edgar Sch?nfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata | ||||||
107 | 43 | Precise Detection in Densely Packed Scenes | https://github.com/eg4000/SKU110K_CVPR19 | Wednesday | Poster 2.1 | 68 | Eran Goldman | Eran Goldman , Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner? | ||||||
108 | 349 | Mixture Density Generative Adversarial Networks | https://github.com/eghbalz/mdgan | Wednesday | Poster 2.1 | 158 | Hamid Eghbal-zadeh | Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer | ||||||
109 | 294 | Exploring the Bounds of the Utility of Context for Object Detection | https://github.com/EhudBarnea/ContextAnalysis | Wednesday | Poster 2.2 | 68 | Ehud Barnea | Ehud Barnea, Ohad Ben-Shahar | ||||||
110 | 23 | Data-Driven Neuron Allocation for Scale Aggregation Networks | https://github.com/Eli-YiLi/ScaleNet | Thursday | Poster 3.2 | 56 | Yi Li | Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang | ||||||
111 | 706 | GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud | https://github.com/ericyi/GSPN | Tuesday | Poster 1.2 | 184 | Li Yi | |||||||
112 | 252 | NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction | https://github.com/ethanygao/NDDR-CNN | Tuesday | Poster 1.2 | 73 | Yuan Gao | Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille | ||||||
113 | 232 | DLOW: Domain Flow for Adaptation and Generalization | https://github.com/ETHRuiGong/DLOW | Tuesday | Oral 1.2B | 15:05 | Tuesday | Poster 1.2 | 134 | Rui Gong | Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool | |||
114 | 145 | From Coarse to Fine: Robust Hierarchical Localization at Large Scale | https://github.com/ethz-asl/hf_net | Thursday | Poster 3.2 | 213 | Paul-Edouard Sarlin | Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, Marcin Dymczyk | ||||||
115 | 269 | A Local Block Coordinate Descent Algorithm for the CSC Model | https://github.com/EvZissel/LoBCoD | Wednesday | Poster 2.2 | 167 | Ev Zisselman | Ev Zisselman, Jeremias Sulam, Michael Elad | ||||||
116 | 137 | Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge | https://github.com/fabiotosi92/monoResMatch-Tensorflow | Thursday | Poster 3.1 | 117 | Fabio Tosi | Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia | ||||||
117 | 350 | Practical Full Resolution Learned Lossless Image Compression | https://github.com/fab-jul/L3C-PyTorch | Thursday | Oral 3.2A | 13:30 | Thursday | Poster 3.2 | 1 | Fabian Mentzer | Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool | |||
118 | 1291 | Attentive Single-Tasking of Multiple Tasks | https://github.com/facebookresearch/astmt | Tuesday | Poster 1.1 | 187 | Kevis-Kokitsi Maninis | |||||||
119 | 233 | 2.5D Visual Sound | https://github.com/facebookresearch/FAIR-Play | http://vision.cs.utexas.edu/projects/2.5D_visual_sound/ | Tuesday | Oral 1.1C | 9:46 | Tuesday | Poster 1.1 | 117 | Ruohan Gao | Ruohan Gao, Kristen Grauman | ||
120 | 172 | Grounded Video Description | https://github.com/facebookresearch/grounded-video-description | Wednesday | Oral 2.2B | 13:30 | Wednesday | Poster 2.2 | 177 | Luowei Zhou | Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach | |||
121 | 30 | Feature Denoising for Improving Adversarial Robustness | https://github.com/facebookresearch/ImageNet-Adversarial-Training | Tuesday | Poster 1.1 | 27 | Cihang Xie | Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He | ||||||
122 | 351 | Inverse Cooking: Recipe Generation From Food Images | https://github.com/facebookresearch/inversecooking | Thursday | Poster 3.1 | 184 | Amaia Salvador | Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto, Adriana Romero | ||||||
123 | 7 | Towards VQA Models That Can Read | https://github.com/facebookresearch/pythia | Wednesday | Poster 2.2 | 196 | Amanpreet Singh | Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach | ||||||
124 | 19 | 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training | https://github.com/facebookresearch/VideoPose3D | Wednesday | Poster 2.2 | 103 | Dario Pavllo | Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli | ||||||
125 | 234 | Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering | https://github.com/fanchenyou/HME-VideoQA | Tuesday | Poster 1.1 | 202 | Chenyou Fan | Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang | ||||||
126 | 352 | MVF-Net: Multi-View 3D Face Morphable Model Regression | https://github.com/Fanziapril/mvfnet | Tuesday | Poster 1.1 | 85 | Fanzi Wu | Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu | ||||||
127 | 283 | Learning Not to Learn: Training Deep Neural Networks With Biased Data | https://github.com/feidfoe/learning-not-to-learn | Thursday | Poster 3.1 | 6 | Byungju Kim | Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim | ||||||
128 | 134 | GA-Net: Guided Aggregation Net for End-To-End Stereo Matching | https://github.com/feihuzhang/GANet | Tuesday | Oral 1.1B | 9:36 | Tuesday | Poster 1.1 | 78 | Feihu Zhang | Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr | |||
129 | 526 | Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry | https://github.com/feixue94/BeyondTrcking | Thursday | Oral 3.1A | 8:58 | Thursday | Poster 3.1 | 195 | Fei Xue | ||||
130 | 353 | Unsupervised Image Captioning | https://github.com/fengyang0317/unsupervised_captioning? | Tuesday | Poster 1.2 | 202 | Yang Feng | Yang Feng, Lin Ma, Wei Liu, Jiebo Luo | ||||||
131 | 21 | Fast Interactive Object Annotation With Curve-GCN | https://github.com/fidler-lab/curve-gcn | Wednesday | Poster 2.1 | 71 | Huan Ling | Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler? | ||||||
132 | 1105 | Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video | https://github.com/fjchange/object_centric_VAD | Wednesday | Poster 2.2 | 112 | Radu Tudor Ionescu | |||||||
133 | 817 | Frame-Consistent Recurrent Video Deraining With Dual-Level Flow | https://github.com/flyywh/Dual-FLow-Video-Deraining-CVPR-2019 | Tuesday | Poster 1.1 | 168 | Wenhan Yang | |||||||
134 | 216 | Domain Generalization by Solving Jigsaw Puzzles | https://github.com/fmcarlucci/JigenDG | Tuesday | Oral 1.2A | 14:24 | Tuesday | Poster 1.2 | 27 | Fabio M. Carlucci | Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi | |||
135 | 960 | ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification | https://github.com/fnzhan/ESIR | Tuesday | Poster 1.1 | 208 | Fangneng Zhan | |||||||
136 | 354 | Spatial Fusion GAN for Image Synthesis | https://github.com/fnzhan/SF-GAN | Tuesday | Poster 1.2 | 136 | Fangneng Zhan | |||||||
137 | 355 | PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation | https://github.com/FoggYu/PartNet | Thursday | Poster 3.1 | 71 | Fenggen Yu | Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu | ||||||
138 | 9 | Fast Online Object Tracking and Segmentation: A Unifying Approach | https://github.com/foolwood/SiamMask | http://www.robots.ox.ac.uk/~qwang/SiamMask/ | Tuesday | Poster 1.1 | 134 | Qiang Wang | Qiang Wang,?Li Zhang,?Luca Bertinetto,?Weiming Hu,?Philip H.S. Torr | |||||
139 | 570 | Revealing Scenes by Inverting Structure From Motion Reconstructions | https://github.com/francescopittaluga/invsfm | Tuesday | Oral 1.1B | 9:10 | Tuesday | Poster 1.1 | 74 | Francesco Pittaluga | ||||
140 | 243 | Good News, Everyone! Context Driven Entity-Aware Captioning for News Images | https://github.com/furkanbiten/GoodNews | Thursday | Poster 3.2 | 188 | Ali Furkan Biten | Ali Furkan Biten, Lluis Gomez, Mar?al Rusi?ol, Dimosthenis Karatzas | ||||||
141 | 356 | Deep Geometric Prior for Surface Reconstruction | https://github.com/fwilliams/deep-geometric-prior | Thursday | Poster 3.1 | 151 | Francis Williams | Francis Williams, Teseo Schneider, Claudio Silva, Denis Zorin, Joan Bruna, Daniele Panozzo | ||||||
142 | 240 | Kervolutional Neural Networks | https://github.com/gan3sh500/kervolution-pytorch | Tuesday | Oral 1.1A | 9:18 | Tuesday | Poster 1.1 | 4 | Chen Wang | Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan | |||
143 | 357 | Graphonomy: Universal Human Parsing via Graph Transfer Learning | https://github.com/Gaoyiminggithub/Graphonomy | Wednesday | Poster 2.2 | 72 | Ke Gong | Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin | ||||||
144 | 358 | Pedestrian Detection With Autoregressive Network Phases | https://github.com/garrickbrazil/AR-Ped | Wednesday | Poster 2.2 | 49 | Garrick Brazil | Garrick Brazil, Xiaoming Liu | ||||||
145 | 359 | Semantic Graph Convolutional Networks for 3D Human Pose Regression | https://github.com/garyzhao/SemGCN | Tuesday | Poster 1.2 | 95 | Long Zhao | |||||||
146 | 270 | Instance-Level Meta Normalization | https://github.com/Gasoonjia/ILM-Norm | Wednesday | Poster 2.1 | 31 | Songhao Jia | Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen | ||||||
147 | 360 | 3D Hand Shape and Pose Estimation From a Single RGB Image | https://github.com/geliuhao/3DHandShapePosefromRGB | https://sites.google.com/site/geliuhaontu/home/cvpr2019 | Thursday | Oral 3.2B | 13:48 | Thursday | Poster 3.2 | 95 | Liuhao Ge | Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan | ||
148 | 361 | Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression | https://github.com/generalized-iou/Detectron.pytorch | https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw | Tuesday | Poster 1.1 | 43 | Hamid Rezatofighi | Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese | |||||
149 | 362 | Hierarchical Deep Stereo Matching on High-Resolution Images | https://github.com/gengshan-y/high-res-stereo | http://www.contrib.andrew.cmu.edu/~gengshay/cvpr19stereo | Wednesday | Poster 2.1 | 97 | Gengshan Yang | Gengshan Yang,Joshua Manela, Michael Happold,Deva Ramanan | |||||
150 | 164 | Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning | https://github.com/gidariss/wDAE_GNN_FewShot | Tuesday | Oral 1.1A | 9:10 | Tuesday | Poster 1.1 | 3 | Spyros Gidaris | Spyros Gidaris, Nikos Komodakis | |||
151 | 363 | Learning From Synthetic Data for Crowd Counting in the Wild | https://github.com/gjy3035/GCC-CL | Wednesday | Poster 2.2 | 166 | Qi Wang | Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan | ||||||
152 | 364 | Context and Attribute Grounded Dense Captioning | https://github.com/gjyin91/CAG-Net | https://zhuanlan.zhihu.com/p/57822460 | https://gjyin91.github.io/projects/cagnet.html | Wednesday | Poster 2.1 | 201 | Guojun Yin | Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao | ||||
153 | 13 | Self-Supervised GANs via Auxiliary Rotation Loss | https://github.com/google/compare_gan | Thursday | Poster 3.2 | 138 | Ting Chen | Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby | ||||||
154 | 365 | Neural Rerendering in the Wild | https://github.com/google/neural_rerendering_in_the_wild | Wednesday | Oral 2.2C | 14:42 | Wednesday | Poster 2.2 | 142 | Moustafa Meshry | Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla | |||
155 | 146 | Peeking Into the Future: Predicting Future Person Activities and Locations in Videos | https://github.com/google/next-prediction | Wednesday | Poster 2.1 | 133 | Junwei Liang | Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei | ||||||
156 | 79 | Revisiting Self-Supervised Visual Representation Learning | https://github.com/google/revisiting-self-supervised | Tuesday | Poster 1.1 | 194 | Alexander Kolesnikov | Alexander Kolesnikov,?Xiaohua Zhai,?Lucas Beyer | ||||||
157 | 195 | BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames | https://github.com/griffbr/BubbleNets | Thursday | Oral 3.1C | 9:29 | Thursday | Poster 3.1 | 65 | Brent A. Griffin | Brent A. Griffin, Jason J. Corso | |||
158 | 366 | Attentive Region Embedding Network for Zero-Shot Learning | https://github.com/gsx0/Attentive-Region-Embedding-Network-for-Zero-shot-Learning | Thursday | Poster 3.1 | 45 | Guo-Sen Xie | |||||||
159 | 367 | Self-Calibrating Deep Photometric Stereo Networks | https://github.com/guanyingc/SDPS-Net | http://gychen.org/SDPS-Net/ | Thursday | Oral 3.1B | 9:11 | Thursday | Poster 3.1 | 84 | Guanying Chen | Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong | ||
160 | 208 | Object Counting and Instance Segmentation With Image-Level Supervision | https://github.com/GuoleiSun/CountSeg | Thursday | Poster 3.2 | 181 | Hisham Cholakkal | Hisham Cholakkal, Guolei Sun (equal contribution), Fahad Shahbaz Khan, Ling Shao | ||||||
161 | 110 | DVC: An End-To-End Deep Video Compression Framework | https://github.com/GuoLusjtu/DVC | Thursday | Oral 3.2C | 13:40 | Thursday | Poster 3.2 | 149 | Guo Lu | Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao | |||
162 | 54 | Toward Convolutional Blind Denoising of Real Photographs | https://github.com/GuoShi28/CBDNet | Tuesday | Poster 1.1 | 173 | Shi Guo | Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang | ||||||
163 | 103 | Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation | https://github.com/Ha0Tang/SelectionGAN | Tuesday | Oral 1.2B | 14:29 | Tuesday | Poster 1.2 | 128 | Hao Tang | Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan | |||
164 | 987 | AdaptiveFace: Adaptive Margin and Sampling for Face Recognition | https://github.com/haoliu1994/AdaptiveFace | Thursday | Poster 3.2 | 117 | Hao Liu | |||||||
165 | 368 | Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding | https://github.com/hassanhub/MultiGrounding | Thursday | Poster 3.2 | 189 | Hassan Akbari | Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang | ||||||
166 | 369 | Learning Joint Reconstruction of Hands and Manipulated Objects | https://github.com/hassony2/manopth | https://www.di.ens.fr/willow/research/obman/ | Thursday | Poster 3.2 | 85 | Yana Hasson | Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid | |||||
167 | 253 | The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos | https://github.com/hazeld/rank-aware-attention-network | Wednesday | Poster 2.2 | 114 | Hazel Doughty | Hazel Doughty, Walterio Mayol-Cuevas, Dima Damen | ||||||
168 | 370 | Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers | https://github.com/hejingwenhejingwen/AdaFM | Thursday | Oral 3.2C | 14:11 | Thursday | Poster 3.2 | 154 | Jingwen He | Jingwen He, Chao Dong, and Yu Qiao | |||
169 | 50 | Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis | https://github.com/HelenMao/MSGAN | Tuesday | Poster 1.1 | 144 | Qi Mao | Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang? | ||||||
170 | 371 | Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition | https://github.com/Heliang-Zheng/TASN | Wednesday | Poster 2.1 | 46 | Heliang Zheng | |||||||
171 | 159 | LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking | https://github.com/HengLan/LaSOT_Evaluation_Toolkit | https://cis.temple.edu/lasot/ | Wednesday | Poster 2.1 | 83 | Heng Fan | Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling | |||||
172 | 111 | Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration | https://github.com/he-y/filter-pruning-geometric-median | Wednesday | Oral 2.1A | 9:11 | Wednesday | Poster 2.1 | 8 | Yang He | Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang | |||
173 | 156 | TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes | https://github.com/hjwdzh/TextureNet | Wednesday | Oral 2.1B | 8:40 | Wednesday | Poster 2.1 | 108 | Jingwei Huang | Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Niessner, and Leonidas Guibas | |||
174 | 36 | Stereo R-CNN Based 3D Object Detection for Autonomous Driving | https://github.com/HKUST-Aerial-Robotics/Stereo-RCNN | https://mp.weixin.qq.com/s/X6XI7L57fGGGkAUug3E6Dg | Wednesday | Poster 2.2 | 92 | Peiliang Li | Peiliang Li, Xiaozhi Chen, Shaojie Shen | |||||
175 | 93 | PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet | https://github.com/hmgoforth/PointNetLK | Wednesday | Poster 2.2 | 24 | Yasuhiro Aoki | Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey | ||||||
176 | 373 | K-Nearest Neighbors Hashing | https://github.com/HolmesShuan/K-Nearest-Neighbors-Hashing | Tuesday | Poster 1.2 | 36 | Xiangyu He | Xiangyu He and Peisong Wang and Jian Cheng | ||||||
177 | 374 | ODE-Inspired Network Design for Single Image Super-Resolution | https://github.com/HolmesShuan/OISR-PyTorch | Tuesday | Poster 1.1 | 175 | Xiangyu He | Xiangyu He and Zitao Mo and Peisong Wang and Yang Liu and Mingyuan Yang and Jian Cheng | ||||||
178 | 917 | Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring | https://github.com/HongguangZhang/DMPHN-cvpr19-master | Wednesday | Poster 2.1 | 174 | Hongguang Zhang | |||||||
179 | 375 | Neural Scene Decomposition for Multi-Person Motion Capture | https://github.com/hrhodin/NeuralSceneDecomposition | Wednesday | Poster 2.2 | 98 | Helge Rhodin | |||||||
180 | 920 | FOCNet: A Fractional Optimal Control Network for Image Denoising | https://github.com/hsijiaxidian/FOCNet | Wednesday | Poster 2.1 | 182 | Xixi Jia | |||||||
181 | 376 | PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing | https://github.com/hszhao/PointWeb | Wednesday | Poster 2.1 | 102 | Hengshuang Zhao | Hengshuang Zhao*, Li Jiang*, Chi-Wing Fu, and Jiaya Jia | ||||||
182 | 222 | Iterative Normalization: Beyond Standardization Towards Efficient Whitening | https://github.com/huangleiBuaa/IterNorm | Wednesday | Poster 2.1 | 32 | Lei Huang | Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao | ||||||
183 | 98 | Noise-Tolerant Paradigm for Training Face Recognition CNNs | https://github.com/huangyangyu/NoiseFace | Thursday | Poster 3.2 | 111 | Wei Hu | Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li | ||||||
184 | 377 | Deep Surface Normal Estimation With Hierarchical RGB-D Fusion | https://github.com/huangyunmu/HFMNet_CVPR2019 | Wednesday | Poster 2.1 | 192 | Jin Zeng | |||||||
185 | 378 | Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation | https://github.com/hughw19/NOCS_CVPR2019 | Tuesday | Oral 1.2C | 15:00 | Tuesday | Poster 1.2 | 181 | He Wang | ||||
186 | 135 | Reliable and Efficient Image Cropping: A Grid Anchor Based Approach | https://github.com/HuiZeng/Grid-Anchor-based-Image-Cropping | Wednesday | Poster 2.1 | 171 | Hui Zeng | Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang | ||||||
187 | 244 | Towards Visual Feature Translation | https://github.com/hujiecpp/VisualFeatureTranslation | Tuesday | Poster 1.2 | 53 | Jie Hu | Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian | ||||||
188 | 279 | Efficient Neural Network Compression | https://github.com/Hyeji-Kim/ENC | Thursday | Poster 3.2 | 198 | Hyeji Kim | Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung | ||||||
189 | 165 | Transfer Learning via Unsupervised Task Discovery for Visual Question Answering | https://github.com/HyeonwooNoh/vqa_task_discovery | Wednesday | Poster 2.2 | 203 | Hyeonwoo Noh | Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han | ||||||
190 | 865 | CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning | https://github.com/icoz69/CaNet | Wednesday | Poster 2.1 | 67 | Chi Zhang | |||||||
191 | 254 | Factor Graph Attention | https://github.com/idansc/fga | Tuesday | Poster 1.1 | 206 | Idan Schwartz | Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing | ||||||
192 | 263 | A Simple Baseline for Audio-Visual Scene-Aware Dialog | https://github.com/idansc/simple-avsd | Thursday | Poster 3.2 | 196 | Idan Schwartz | Idan Schwartz, Alexander Schwing, Tamir Hazan | ||||||
193 | 1294 | Deep Incremental Hashing Network for Efficient Image Retrieval | https://github.com/IIE-MR/DIHN | Thursday | Poster 3.1 | 12 | Dayan Wu | |||||||
194 | 85 | RVOS: End-To-End Recurrent Network for Video Object Segmentation | https://github.com/imatge-upc/rvos | Wednesday | Poster 2.1 | 73 | Carles Ventura | Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto | ||||||
195 | 25 | Selective Kernel Networks | https://github.com/implus/SKNet | Tuesday | Poster 1.1 | 28 | Xiang Li | Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang | ||||||
196 | 264 | SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences | https://github.com/intellhave/SDRSAC | Tuesday | Oral 1.1B | 9:00 | Tuesday | Poster 1.1 | 72 | Huu M. Le | Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung | |||
197 | 594 | Structured Knowledge Distillation for Semantic Segmentation | https://github.com/irfanICMLL/structure_knowledge_distillation | https://mp.weixin.qq.com/s/WvYPf7xHu4TtuDan_Hh_pQ | Tuesday | Oral 1.2C | 14:34 | Tuesday | Poster 1.2 | 177 | Yifan Liu | Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang | ||
198 | 235 | HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs | https://github.com/irvinxav/Efficient-HetConv-Heterogeneous-Kernel-Based-Convolutions | Wednesday | Poster 2.1 | 28 | Pravendra Singh | Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri | ||||||
199 | 379 | RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion | https://github.com/iSarmad/RL-GAN-Net | Wednesday | Poster 2.1 | 166 | Muhammad Sarmad | Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim | ||||||
200 | 380 | ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features | https://github.com/ISICV/ManTraNet | Thursday | Poster 3.1 | 76 | Yue Wu | |||||||
201 | 271 | AIRD: Adversarial Learning Framework for Image Repurposing Detection | https://github.com/isi-vista/AIRD-Datasets | Thursday | Poster 3.2 | 36 | Ayush Jaiswal | Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan | ||||||
202 | 31 | DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion | https://github.com/j96w/DenseFusion | https://mp.weixin.qq.com/s/wrND2cocWlPPVXPqpq-Glg | Tuesday | Poster 1.2 | 87 | Chen Wang | Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese |