- (ML)$^2$P-Encoder_ On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
- 1% VS 100%_ Parameter-Efficient Low Rank Adapter for Dense Predictions
- 1000 FPS HDR Video With a Spike-RGB Hybrid Camera
- 2PCNet_ Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
- 3D Cinemagraphy From a Single Image
- 3D Concept Learning and Reasoning From Multi-View Images
- 3D GAN Inversion With Facial Symmetry Prior
- 3D Highlighter_ Localizing Regions on 3D Shapes via Text Descriptions
- 3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels
- 3D Human Mesh Estimation From Virtual Markers
- 3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention
- 3D Human Pose Estimation via Intuitive Physics
- 3D Line Mapping Revisited
- 3D Neural Field Generation Using Triplane Diffusion
- 3D Registration With Maximal Cliques
- 3D Semantic Segmentation in the Wild_ Learning Generalized Models for Adverse-Condition Point Clouds
- 3D Shape Reconstruction of Semi-Transparent Worms
- 3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud
- 3D Video Loops From Asynchronous Input
- 3D Video Object Detection With Learnable Object-Centric Global Optimization
- 3D-Aware Conditional Image Synthesis
- 3D-Aware Face Swapping
- 3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data
- 3D-Aware Multi-Class Image-to-Image Translation With NeRFs
- 3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification
- 3D-POP - An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture
- 3DAvatarGAN_ Bridging Domains for Personalized Editable Avatars
- 3Mformer_ Multi-Order Multi-Mode Transformer for Skeletal Action Recognition
- A Bag-of-Prototypes Representation for Dataset-Level Applications
- A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation
- A Data-Based Perspective on Transfer Learning
- A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
- A General Regret Bound of Preconditioned Gradient Method for DNN Training
- A Generalized Framework for Video Instance Segmentation
- A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images
- A Large-Scale Homography Benchmark
- A Large-Scale Robustness Analysis of Video Action Recognition Models
- A Light Touch Approach to Teaching Transformers Multi-View Geometry
- A Light Weight Model for Active Speaker Detection
- A Loopback Network for Explainable Microvascular Invasion Classification
- A Meta-Learning Approach to Predicting Performance and Data Requirements
- A New Benchmark_ On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation
- A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation
- A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories
- A New Path_ Scaling Vision-and-Language Navigation With Synthetic Instructions and Imitation Learning
- A Practical Stereo Depth System for Smart Glasses
- A Practical Upper Bound for the Worst-Case Attribution Deviations
- A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image
- A Probabilistic Framework for Lifelong Test-Time Adaptation
- A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization