Accepted Papers

Authors with Google affiliation listed in bold.

Orals

Evolving Losses for Unsupervised Video Representation Learning

AJ Piergiovanni, Anelia Angelova, Michael Ryoo

10:05 & 22:05 

CvxNet: Learnable Convex Decomposition

Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, Andrea Tagliasacchi

10:15 & 22:15 

Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise

Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh

10:25 & 22:25 

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla‎, Aurélien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev‎, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi‎, Sheng Zhao, Shuyang Chen, Yu Zhang, Jon Shlens, Zhifeng Chen, Dragomir Anguelov

12:00 & 0:00 

Deep Implicit Volume Compression

Saurabh Singh, Danhang Tang, Cem Keskin, Philip Chou, Christian Haene, Mingsong Dou, Sean Fanello, Jonathan Taylor, Andrea Tagliasacchi, Philip Davidson, Yinda Zhang, Onur Guleryuz, Shahram Izadi, Sofien Bouaziz 

12:20 & 00:20 

Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model

Dongdong Wan, Yandong Li, Liqiang Wang, and Boqing Gong

12:20 & 00:20

Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval 

Tobias Weyand, Andre Araujo, Jack Sim, Bingyi Cao

14:00 & 2:00

CycleISP: Real Image Restoration via Improved Data Synthesis

Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao

14:00 & 2:00 

Dynamic Graph Message Passing Networks

Li Zhang, Dan Xu, Anurag Arnab, Philip Torr

16:10 and 04:10 

Posters

Single-view view synthesis with multiplane images

Richard Tucker, Noah Snavely

10:00 & 22:00

Adversarial Examples Improve Image Recognition

Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan Yuille, Quoc V. Le

10:00 & 22:00 

Adversarial Texture Optimization from RGB-D Scans

Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu “Max” Jiang, Leonidas Guibas, Matthias Niessner, Thomas Funkhouser

12:00 & 0:00 

Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang,Yung-Yu Chuang, Jia-Bin Huang

12:00 & 00:00 

Collaborative Distillation for Ultra-Resolution Universal Style Transfer

Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang

12:00 & 00:00 

Learning to Autofocus

Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih

12:00 & 00:00 

Multi-Scale Boosted Dehazing Network with Dense Feature Fusion

Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang

12:00 & 0:00 

Composing Good Shots by Exploiting Mutual Relations

Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang

16:00 & 4:00 

PatchVAE: Learning Local Latent Codes for Recognition

Kamal Gupta, Saurabh Singh, Abhinav Shrivastava

16:00 & 4:00 

 

Orals

Local Deep Implicit Functions for 3D Shape

Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas Funkhouser

10:00 & 22:00

GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models

Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William Freeman, Rahul Sukthankar, Cristian Sminchisescu

12:35 & 00:35 

Search to Distill: Pearls are Everywhere but not the Eyes

Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang

14:05 & 2:05  

Semantic Pyramid for Image Generation

Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William Freeman, Tali Dekel

14:10 & 2:10 

Flow Contrastive Estimation of Energy-Based Models

Ruiqi Gao, Erik Nijkamp, Diederik Kingma, Zhen Xu, Andrew Dai, Ying Nian Wu

14:40 & 02:40 

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from A Domain Adaptation Perspective

Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong

14:40 & 02:40 

Category-Level Articulated Object Pose Estimation

Xiaolong Li, He Wang, Li Yi, Leonidas Guibas, Amos Abbott, Shuran Song

16:00 & 4:00 

AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss

Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas Guibas, Hao Zhang

16:10 & 4:10 

Posters

Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool

Konstantinos Rematas, Vittorio Ferrari

10:00 & 22:00

Local Implicit Grid Representations for 3D Scenes

Chiyu “Max” Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Niessner, Thomas Funkhouser

10:00 & 22:00 

Large Scale Video Representation Learning via Relational Graph Clustering

Hyodong Lee, Joonseok Lee, Joe Yue-Hei Ng, Apostol (Paul) Natsev

12:00 & 00:00 

Deep Homography Estimation for Dynamic Scenes

Hoang Le, Feng Liu, Shu Zhang, Aseem Agarwala

14:00 & 2:00 

C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds

Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, Vittorio Ferrari

14:00 & 2:00 

Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination

Pratul Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely

14:00 & 2:00 

Scale-space flow for end-to-end optimized video compression

Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ballé, Sung Jin Hwang, George Toderici

14:00 & 2:00 

StructEdit: Learning Structural Shape Variations

Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, Leonidas Guibas

16:00 & 4:00 

3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation

Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, Matthias Niessner

16:00 4:00 

Sequential mastery of multiple tasks: Networks naturally learn to learn and forget to forget

Guy Davidson, Michael C. Mozer

16:00 & 4:00

Distilling Effective Supervision from Severe Label Noise

Zizhao Zhang, Han Zhang, Sercan Ö. Arik, Honglak Lee, Tomas Pfister

16:00 & 4:00

ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation

Yawar Siddiqui, Julien Valentin, Matthias Niessner

16:00 & 4:00 

Attribution in Scale and Space

Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan

16:00 & 4:00

Weakly-Supervised Semantic Segmentation via Sub-category Exploration

Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang

16:00 & 4:00 

 

Orals

SpeedNet: Learning the Speediness in Videos

Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William Freeman, Michael Rubinstein, Michal Irani, Tali Dekel

9:50 & 21:50

BSP-Net: Generating Compact Meshes via Binary Space Partitioning

Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang

10:20 & 22:20 

SAPIEN: A SimulAted Part-based Interactive ENvironment

Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel Chang, Leonidas Guibas, Hao Su

11:00 & 23:00 

 SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving 

Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar

11:10 & 23:10 

Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks

Saurabh Singh, Shankar Krishnan

11:20 & 23:20

RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real

Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari

11:30 & 23:30 

Open Compound Domain Adaptation

Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X.Yu, Boqing Gong

15:25 & 03:25 

Posters

Speech2Action: Cross-modal Supervision for Action Recognition

Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman

9:00 & 21:00

Counting Out Time: Class Agnostic Video Repetition Counting in the Wild

Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

9:00 & 21:00 

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, Alexander Hauptmann

9:00 & 21:00 

Self-training with Noisy Student improves ImageNet classification

Qizhe Xie, Minh-Thang Luong, Eduard Hovy, Quoc V. Le

9:00 & 21:00 

EfficientDet: Scalable and Efficient Object Detection

Mingxing Tan, Ruoming Pang, Quoc Le

9:00 & 21:00

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning

Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi

11:00 & 23:00 

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Cordelia Schmid, Congcong Li

11:00 & 23:00 

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc Le, Xiaodan Song

11:00 & 23:00 

KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects

Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige

11:00 &23:00 

Structured Multi-Hashing for Model Compression

Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel A. Carreira-Perpinan

11:00 & 23:00 

DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes

Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Tom Funkhouser, Caroline Pantofaru, David Ross, Larry Davis, Alireza Fathi

11:00 & 23:00 

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

Bowen Cheng, Maxwell Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen

15:00 & 3:00 

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection

Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang

15:00 & 3:00 

 Distortion Agnostic Deep Watermarking

Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar

17:00 & 5:00

Can weight sharing outperform random architecture search? An investigation with TuNAS

Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le  

17:00 & 5:00 

GIFnets: Differentiable GIF Encoding Framework

Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar

17:00 & 5:00 

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

Giannis Daras, Augustus Odena, Han Zhang, Alex Dimakis

17:00 & 5:00

Fast Sparse ConvNets

Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan

17:00 & 5:00

RetinaTrack: Online Single Stage Joint Detection and Tracking

Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang

17:00 & 5:00

Learning to See Through Obstructions

Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang,Yung-Yu Chuang, Jia-Bin Huang

17:00 & 5:00 

Self-Supervised Learning of Video-Induced Visual Invariances

Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic

17:00 & 5:00