Papers
AutoFlow: Learning a Better Training Set for Optical Flow
Deqing Sun, Daniel Vlasic, Charles Herrmann et al.
AutoInt: Automatic Integration for Fast Neural Volume Rendering
David B. Lindell, Julien N. P. Martel, Gordon Wetzstein
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks
Sangyun Oh, Hyeonuk Sim, Sugil Lee et al.
Automatic Correction of Internal Units in Generative Neural Networks
Ali Tousi, Haedong Jeong, Jiyeon Han et al.
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization
Fakai Wang, Kang Zheng, Le Lu et al.
Autoregressive Stylized Motion Synthesis With Generative Flow
Yu-Hui Wen, Zhipeng Yang, Hongbo Fu et al.
BABEL: Bodies, Action and Behavior With English Labels
Abhinanda R. Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou et al.
Backdoor Attacks Against Deep Learning Systems in the Physical World
Emily Wenger, Josephine Passananti, Arjun Nitin Bhagoji et al.
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
Youngmin Oh, Beomjun Kim, Bumsub Ham
Background Splitting: Finding Rare Classes in a Sea of Background
Ravi Teja Mullapudi, Fait Poms, William R. Mark et al.
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
Federico Paredes-Valles, Guido C. H. E. de Croon
Back to the Feature: Learning Robust Camera Localization From Pixels To Pose
Paul-Edouard Sarlin, Ajaykumar Unagar, Mans Larsson et al.
Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds
Bowen Cheng, Lu Sheng, Shaoshuai Shi et al.
BASAR:Black-Box Attack on Skeletal Action Recognition
Yunfeng Diao, Tianjia Shao, Yong-Liang Yang et al.
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Kelvin C.K. Chan, Xintao Wang, Ke Yu et al.
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
Yufei Cui, Ziquan Liu, Qiao Li et al.
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Jungbeom Lee, Jihun Yi, Chaehun Shin et al.
BCNet: Searching for Network Width With Bilaterally Coupled Network
Xiu Su, Shan You, Fei Wang et al.
Behavior-Driven Synthesis of Human Dynamics
Andreas Blattmann, Timo Milbich, Michael Dorkenwald et al.
Benchmarking Representation Learning for Natural World Image Collections
Grant Van Horn, Elijah Cole, Sara Beery et al.
Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection
Zonghao Guo, Chang Liu, Xiaosong Zhang et al.
Beyond Image to Depth: Improving Depth Prediction Using Echoes
Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma
Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection
Bohao Li, Boyu Yang, Chang Liu et al.
Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories
Xitong Yang, Haoqi Fan, Lorenzo Torresani et al.
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape From a Video
Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang et al.