1.6k citations · 6.8k across the 186 of their papers we have counts for
34 papers · 1 filter
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images
Ziyang Xu, Huangxuan Zhao, Wenyu Liu +1
The rapid and accurate direct multi-frame interpolation method for Digital Subtraction Angiography (DSA) images is crucial for reducing radiation and providing real-time assistance…
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding
Haoyi Jiang, Liu Liu, Tianheng Cheng +5
3D Semantic Occupancy Prediction is fundamental for spatial understanding, yet existing approaches face challenges in scalability and generalization due to their reliance on extens…
Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation
Yongkang Li, Tianheng Cheng, Bin Feng +2
Recent open-vocabulary segmentation methods adopt mask generators to predict segmentation masks and leverage pre-trained vision-language models, e.g., CLIP, to classify these masks…
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
Bencheng Liao, Shaoyu Chen, Haoran Yin +8
Recently, the diffusion model has emerged as a powerful generative technique for robotic policy learning, capable of modeling multi-mode action distributions. Leveraging its capabi…
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
Jingfeng Yao, Wang Cheng, Wenyu Liu +1
Diffusion Transformers (DiT) have attracted significant attention in research. However, they suffer from a slow convergence rate. In this paper, we aim to accelerate DiT training w…
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
Bo Jiang, Shaoyu Chen, Bencheng Liao +6
End-to-end autonomous driving demonstrates strong planning capabilities with large-scale data but still struggles in complex, rare scenarios due to limited commonsense. In contrast…
M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes
Sixu Yan, Zeyu Zhang, Muzhi Han +7
Recent advances in diffusion models have opened new avenues for research into embodied AI agents and robotics. Despite significant achievements in complex robotic locomotion and sk…
Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection
Dingwen Zhang, Liangbo Cheng, Yi Liu +2
The part-whole relational property endowed by Capsule Networks (CapsNets) has been known successful for camouflaged object detection due to its segmentation integrity. However, the…
M3Bench: Benchmarking Whole-body Motion Generation for Mobile Manipulation in 3D Scenes
Zeyu Zhang, Sixu Yan, Muzhi Han +4
We propose M3Bench, a new benchmark for whole-body motion generation in mobile manipulation tasks. Given a 3D scene context, M3Bench requires an embodied agent to reason about its…
ControlAR: Controllable Image Generation with Autoregressive Models
Zongming Li, Tianheng Cheng, Shoufa Chen +6
Autoregressive (AR) models have reformulated image generation as next-token prediction, demonstrating remarkable potential and emerging as strong competitors to diffusion models. H…
Dynamic 2D Gaussians: Geometrically Accurate Radiance Fields for Dynamic Objects
Shuai Zhang, Guanjun Wu, Zhoufeng Xie +3
Reconstructing objects and extracting high-quality surfaces play a vital role in the real world. Current 4D representations show the ability to render high-quality novel views for…
PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-Identification
Bin Hu, Xinggang Wang, Wenyu Liu
Person Re-Identification (ReID) aims to retrieve relevant individuals in non-overlapping camera images and has a wide range of applications in the field of public safety. In recent…
XS-VID: A Large-Scale Benchmark for Small Object Detection and Tracking in Videos
Jiahao Guo, Ziyang Xu, Lianjun Wu +3
Small object detection and tracking in videos remain critical yet underexplored challenges in computer vision, particularly for applications such as public safety, aerial surveilla…
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution Kernels
Ziwei Cui, Jingfeng Yao, Lunbin Zeng +3
The segmentation of cell nuclei in tissue images stained with the blood dye hematoxylin and eosin (HE) is essential for various clinical applications and analyses. Due to the c…
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition
Haijun Xiong, Bin Feng, Xinggang Wang +1
Gait recognition is a biometric technology that distinguishes individuals by their walking patterns. However, previous methods face challenges when accurately extracting identity f…
Segment Any 4D Gaussians
Shengxiang Ji, Guanjun Wu, Jiemin Fang +5
Modeling, understanding, and reconstructing the real world are crucial in XR/VR. Recently, 3D Gaussian Splatting (3D-GS) methods have shown remarkable success in modeling and under…
MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images
Ziyang Xu, Huangxuan Zhao, Ziwei Cui +3
Artificial intelligence has become a crucial tool for medical image analysis. As an advanced cerebral angiography technique, Digital Subtraction Angiography (DSA) poses a challenge…
Occupancy as Set of Points
Yiang Shi, Tianheng Cheng, Qian Zhang +2
In this paper, we explore a novel point representation for 3D occupancy prediction from multi-view images, which is named Occupancy as Set of Points. Existing camera-based methods…
Visual Text Generation in the Wild
Yuanzhi Zhu, Jiawei Liu, Feiyu Gao +6
Recently, with the rapid advancements of generative models, the field of visual text generation has witnessed significant progress. However, it is still challenging to render high-…
GaussianDreamerPro: Text to Manipulable 3D Gaussians with Highly Enhanced Quality
Taoran Yi, Jiemin Fang, Zanwei Zhou +7
Recently, 3D Gaussian splatting (3D-GS) has achieved great success in reconstructing and rendering real-world scenes. To transfer the high rendering quality to generation tasks, a…
Skim then Focus: Integrating Contextual and Fine-grained Views for Repetitive Action Counting
Zhengqi Zhao, Xiaohu Huang, Hao Zhou +6
The key to action counting is accurately locating each video's repetitive actions. Instead of estimating the probability of each frame belonging to an action directly, we propose a…
EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model
Yuxuan Zhang, Tianheng Cheng, Lianghui Zhu +7
Segment Anything Model (SAM) has attracted widespread attention for its superior interactive segmentation capabilities with visual prompts while lacking further exploration of text…
ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention
Bencheng Liao, Xinggang Wang, Lianghui Zhu +2
Recently, linear complexity sequence modeling networks have achieved modeling capabilities similar to Vision Transformers on a variety of computer vision tasks, while using fewer F…
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
Jingfeng Yao, Xinggang Wang, Yuehao Song +5
The diagnosis and treatment of chest diseases play a crucial role in maintaining human health. X-ray examination has become the most common clinical examination means due to its ef…