[CVPR 2024] Exploring Orthogonality in Open World Object Detection

Implementation of the paper "Learning to Prompt CLIP for Monocular Depth Estimation: Exploring the Limits of Human Language", ICCV Workshop on Open Vocabulary Scene Understanding (OpenSUN3D) 2023

Source code for NeurIPS paper "POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images"

The official pytorch implementation of our AAAI 2024 paper "Unifying Visual and Vision-Language Tracking via Contrastive Learning"

g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains

[CVPR2024] The code for "MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction"

[ECCV 2024] Beyond MOT: Semantic Multi-Object Tracking

This repository contains the PyTorch implementation of the CVPR'2024 paper (Highlight), IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection.

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

A book that explore how to write an Operating System from scratch

Code for ECCV'24 paper: "Better Call SAL: Towards Learning to Segment Anything in Lidar"

Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024).

Distribute and run LLMs with a single file.

Official implementation of ECCV24 paper "SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding"

Multi-Space Alignments Towards Universal LiDAR Segmentation

VDPG: Adapting to Distribution Shift by Visual Domain Prompt Generation (ICLR 2024)

[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"

[ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"

[CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners

Official repository for our the paper: Uncertainty-aware LiDAR Panoptic Segmentation

ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Autoencoder model for Point Clouds implemented in PyTorch

Autoencoder for Point Clouds

[NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

Official implementation for AnomalyCLIP (ICLR 2024)

[ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection