activity
20222024
most citedInstruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

31 citations · 46 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC20241 cited

MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion

Chencan Fu, Yabiao Wang, Jiangning Zhang +7

Co-speech gesture generation is crucial for producing synchronized and realistic human gestures that accompany speech, enhancing the animation of lifelike avatars in virtual enviro…

cs.CV20246 cited

MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation

Xiaofeng Mao, Zhengkai Jiang, Qilin Wang +7

Recent advancements in the field of Diffusion Transformers have substantially improved the generation of high-quality 2D images, 3D videos, and 3D shapes. However, the effectivenes…

cs.CV20241 cited

Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Peng Gao, Le Zhuo, Dongyang Liu +17

Sora unveils the potential of scaling Diffusion Transformer for generating photorealistic images and videos at arbitrary resolutions, aspect ratios, and durations, yet it still lac…

cs.CV20242 cited

SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking

Xiaojun Hou, Jiazheng Xing, Yijie Qian +8

Multimodal Visual Object Tracking (VOT) has recently gained significant attention due to its robustness. Early research focused on fully fine-tuning RGB-based trackers, which was i…

cs.CV2024

UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation

Qingdong He, Jinlong Peng, Zhengkai Jiang +7

3D open-vocabulary scene understanding aims to recognize arbitrary novel categories beyond the base label space. However, existing works not only fail to fully utilize all the avai…

cs.CV2023

Dual Path Transformer with Partition Attention

Zhengkai Jiang, Liang Liu, Jiangning Zhang +3

This paper introduces a novel attention mechanism, called dual attention, which is both efficient and effective. The dual attention mechanism consists of two parallel components: l…