Papers
Augmenting Depth Estimation With Geospatial Context
Scott Workman, Hunter Blanton
A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder
Yujun Cai, Yiwei Wang, Yiheng Zhu et al.
A Unified Objective for Novel Class Discovery
Enrico Fini, Enver Sangineto, Stéphane Lathuilière et al.
AutoFormer: Searching Transformers for Visual Recognition
Minghao Chen, Houwen Peng, Jianlong Fu et al.
Auto Graph Encoder-Decoder for Neural Network Pruning
Sixing Yu, Arya Mazaheri, Ali Jannesari
Auto-Parsing Network for Image Captioning and Visual Question Answering
Xu Yang, Chongyang Gao, Hanwang Zhang et al.
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
Zongdai Liu, Dingfu Zhou, Feixiang Lu et al.
AutoSpace: Neural Architecture Search With Less Human Interference
Daquan Zhou, Xiaojie Jin, Xiaochen Lian et al.
Auxiliary Tasks and Exploration Enable ObjectGoal Navigation
Joel Ye, Dhruv Batra, Abhishek Das et al.
A Weakly Supervised Amodal Segmenter With Boundary Uncertainty Estimation
Khoi Nguyen, Sinisa Todorovic
BabelCalib: A Universal Approach to Calibrating Central Cameras
Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen et al.
Baking Neural Radiance Fields for Real-Time View Synthesis
Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall et al.
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation
Yahao Liu, Jinhong Deng, Xinchen Gao et al.
BARF: Bundle-Adjusting Neural Radiance Fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba et al.
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective
Philipp Benz, Chaoning Zhang, In So Kweon
Bayesian Deep Basis Fitting for Depth Completion With Uncertainty
Chao Qu, Wenxin Liu, Camillo J. Taylor
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Frederik Warburg, Martin Jørgensen, Javier Civera et al.
Benchmarking Ultra-High-Definition Image Super-Resolution
Kaihao Zhang, Dongxu Li, Wenhan Luo et al.
Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance
Xiaohan Yu, Yang Zhao, Yongsheng Gao et al.
Better Aggregation in Test-Time Augmentation
Divya Shanmugam, Davis Blalock, Guha Balakrishnan et al.
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning
Zhirui Dai, Yuepeng Jiang, Yi Li et al.
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
Corentin Dancette, Rémi Cadène, Damien Teney et al.
Beyond Road Extraction: A Dataset for Map Update Using Aerial Images
Favyen Bastani, Samuel Madden
Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations
Pau Rodríguez, Massimo Caccia, Alexandre Lacoste et al.
Bias Loss for Mobile Neural Networks
Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen et al.