Sheng Jin

10

Papers

220

Total Citations

Papers (10)

CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction

Harmonizing Visual Representations for Unified Multimodal Understanding and Generation

CLIM: Contrastive Language-Image Mosaic for Region Representation

F-LMM: Grounding Frozen Large Multimodal Models

AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks

Weakly Supervised Monocular 3D Detection with a Single-View Image

Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer

UniFS: Universal Few-shot Instance Perception with Point Representations

NADER: Neural Architecture Design via Multi-Agent Collaboration

Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling