1 citations · 1 across the 12 of their papers we have counts for
15 papers
Acting Through Registers
Yiwei Zhang, Yantai Yang, Jin Gao +7
World Action Models (WAMs) use generative visual representations to condition robot actions, yet how these representations organize action-relevant information remains poorly under…
Dynamic-Robust Photometric-Semantic Reconstruction for Open-Vocabulary 3D Scene Understanding
Boyu Cai, Li Yang, Yan Xu +6
The integration of novel view synthesis (NVS) and open-vocabulary segmentation (OVS) has recently yielded powerful feed-forward 3D foundation models. However, their inherent relian…
Gaze-DETR: Top-Down Guidance Through Priority Maps for Infrared Weak-Small UAV Detection with DETR
Nian Liu, Yuxin Yang, Shubo Lin +6
Infrared small target detection (ISTD) remains challenging because tiny, low-contrast targets are easily overwhelmed by clutter, noise, or occlusion. Conventional single-frame and…
MMPhysVideo: Physically Plausible Video Generation Through Joint RGB-Perception Modeling
Shubo Lin, Xuanyang Zhang, Wei Cheng +3
Despite advancements in generating visually stunning content, video diffusion models (VDMs) often yield physically inconsistent results due to pixel-only reconstruction. To address…
MI-DETR: A Strong Baseline for Moving Infrared Small Target Detection with Motion Integration
Nian Liu, Jin Gao, Shubo Lin +9
Detecting moving infrared small targets is challenging because tiny, low-contrast targets occupy few pixels and are easily obscured by dynamic backgrounds. Existing multi-frame met…
SoLA-Vision: Fine-grained Layer-wise Linear Softmax Hybrid Attention
Ruibang Li, Guan Luo, Yiwei Zhang +3
Standard softmax self-attention excels in vision tasks but incurs quadratic complexity O(N^2), limiting high-resolution deployment. Linear attention reduces the cost to O(N), yet i…
Integrating Diverse Assignment Strategies into DETRs
Yiwei Zhang, Jin Gao, Hanshi Wang +4
Label assignment is a critical component in object detectors, particularly within DETR-style frameworks where the one-to-one matching strategy, despite its end-to-end elegance, suf…
Online Segment Any 3D Thing as Instance Tracking
Hanshi Wang, Zijian Cai, Jin Gao +4
Online, real-time, and fine-grained 3D segmentation constitutes a fundamental capability for embodied intelligent agents to perceive and comprehend their operational environments.…
AutoPrune: Each Complexity Deserves a Pruning Policy
Hanshi Wang, Yuhao Xu, Zekun Xu +5
The established redundancy in visual tokens within large vision-language models allows pruning to effectively reduce their substantial computational demands. Previous methods typic…
MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection
Hanshi Wang, Jin Gao, Weiming Hu +1
We present the first work demonstrating that a pure Mamba block can achieve efficient Dense Global Fusion, meanwhile guaranteeing top performance for camera-LiDAR multi-modal 3D ob…
PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured Environments
Yueting Liu, Hanshi Wang, Zhengjun Zha +2
Recent advancements in autonomous driving perception have revealed exceptional capabilities within structured environments dominated by vehicular traffic. However, current percepti…
VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization
Yiwei Zhang, Jin Gao, Fudong Ge +5
Bird's-eye-view (BEV) map layout estimation requires an accurate and full understanding of the semantics for the environmental elements around the ego car to make the results coher…
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
Shubo Lin, Yutong Kou, Zirui Wu +4
While existing query-based 3D end-to-end visual trackers integrate detection and tracking via the tracking-by-attention paradigm, these two chicken-and-egg tasks encounter optimiza…
An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training
Jin Gao, Shubo Lin, Shaoru Wang +7
Masked image modeling (MIM) pre-training for large-scale vision transformers (ViTs) has enabled promising downstream performance on top of the learned self-supervised ViT features.…
BEVPR: BEV-Enhanced Visual Place Recognition with Structural Cues
Fudong Ge, Yiwei Zhang, Shuhan Shen +3
In this paper, we propose a new image-based visual place recognition (VPR) framework by exploiting the structural cues in bird's-eye view (BEV) from a single monocular camera. The…