Computer Vision

Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces CVPR 2023 Leverage Interactive Affinity for Affordance Learning CVPR 2023 Leverage Points in Modality Shifts: Comparing Language-only and Multimodal Word Representations ACL 2023 Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves CoRL 2023 Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis NeurIPS 2023 Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction ICLR 2023 Leveraging Hidden Positives for Unsupervised Semantic Segmentation CVPR 2023 Leveraging Inpainting for Single-Image Shadow Removal ICCV 2023 Leveraging Off-the-Shelf Diffusion Model for Multi-Attribute Fashion Image Manipulation WACV 2023 Leveraging Old Knowledge to Continually Learn New Classes in Medical Images AAAI 2023 Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly ICCV 2023 Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition ICCV 2023 Leveraging Sub-class Discimination for Compositional Zero-Shot Learning AAAI 2023 Leveraging Temporal Context in Low Representational Power Regimes CVPR 2023 Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection NeurIPS 2023 LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising CVPR 2023 Li3DeTr: A LiDAR Based 3D Detection Transformer WACV 2023 LICO: Explainable Models with Language-Image COnsistency NeurIPS 2023 LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation CVPR 2023 LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment ICCV 2023 LidarGait: Benchmarking 3D Gait Recognition With Point Clouds CVPR 2023 LiDAR-in-the-Loop Hyperparameter Optimization CVPR 2023 LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception AAAI 2023 LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation ICCV 2023 Lifelong Person Re-identification via Knowledge Refreshing and Consolidation AAAI 2023