activity
20172024
most citedLight-Head R-CNN: In Defense of Two-Stage Object Detector

284 citations · 1.1k across the 37 of their papers we have counts for

collaborators

50 papers

cs.CV2024

Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation

Fei Gao, Siwen Wang, Fandong Zhang +5

Medical image analysis suffers from a shortage of data, whether annotated or not. This becomes even more pronounced when it comes to 3D medical images. Self-Supervised Learning (SS…

cs.CV2024

Lightweight Model Pre-training via Language Guided Knowledge Distillation

Mingsheng Li, Lin Zhang, Mingzhen Zhu +4

This paper studies the problem of pre-training for small models, which is essential for many mobile devices. Current state-of-the-art methods on this problem transfer the represent…

cs.CV2024

MotionChain: Conversational Motion Controllers via Multimodal Prompts

Biao Jiang, Xin Chen, Chi Zhang +4

Recent advancements in language models have demonstrated their adeptness in conducting multi-turn dialogues and retaining conversational context. However, this proficiency remains…

cs.CV20244 cited

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Xiwei Hu, Rui Wang, Yixiao Fang +3

Diffusion models have demonstrated remarkable performance in the domain of text-to-image generation. However, most widely used models still employ CLIP as their text encoder, which…

cs.CV20231 cited

VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations

Yiying Yang, Wen Liu, Fukun Yin +4

Recent advancements in implicit neural representations have contributed to high-fidelity surface reconstruction and photorealistic novel view synthesis. However, the computational…

cs.CV2023

Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning

Sijin Chen, Hongyuan Zhu, Mingsheng Li +6

3D dense captioning requires a model to translate its understanding of an input 3D scene into several captions associated with different object regions. Existing methods adopt a so…