Stars
This repository collects research papers of large Vision Language Models in Autonomous driving and Intelligent Transportation System. The repository will be continuously updated to track the lates…
[CVPR 2024] EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection
Fine-grained Multi-view Hand Reconstruction Using Inverse Rendering
The code for "TokenPacker: Efficient Visual Projector for Multimodal LLM".
Official pytorch implementation of "XHand: Real-time Expressive Hand Avatar"
[CVPR2024] The code for "MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction"
Efficient modeling interface for mathematical optimization in Python
[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory
[CVPR2024] The code for "Osprey: Pixel Understanding with Visual Instruction Tuning"
Zhejiang University Graduation Thesis LaTeX Template
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions [WACV 2023]
The code for "Label-efficient Segmentation via Affinity Propagation". [NeurIPS2023]
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
The code for "Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport", ICCV2023
The official implementation of "LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation" (CVPR 2023)
[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
The official implementation of "Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation" (RA-L with IROS 2022)
A toolbox for box-supervised instance segmentation.
AAAI2023,implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods
Awesome box-supervised instance segmentation papers.
A PyTorch implementation of Warped Convolution Networks.
The code for "Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters".