Zhe Chen

29

Papers

3,137

Total Citations

Papers (29)

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World

The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding

Docopilot: Improving Multimodal Models for Document-Level Understanding

Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding

Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis

Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception

HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding

SHeaP: Self-supervised Head Geometry Predictor Learned via 2D Gaussians

OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision

DDP: Diffusion Model for Dense Visual Prediction

Invertible Neural BRDF for Object Inverse Rendering

PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models

RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis

ReactGPT: Understanding of Chemical Reactions via In-Context Tuning

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP

Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities

AVSegFormer: Audio-Visual Segmentation with Transformer

Contrastive Boundary Learning for Point Cloud Segmentation

Recurrent Glimpse-Based Decoder for Detection With Transformer

CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose

Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation

InternImage: Exploring Large-Scale Vision Foundation Models With Deformable Convolutions

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation