130 citations · 499 across the 58 of their papers we have counts for
60 papers
Is It Time for the Renaissance of Salient Object Detection in the Era of MLLMs?
Wenzhuo Zhao, Xiuzhi Li, Zhongkuan Mao +6
The zero-shot capabilities of multimodal large language models (MLLMs) are pushing salient object detection (SOD) beyond task-specific supervision. To disentangle MLLMs beyond conv…
RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection
Tianyu Li, Jiahao He, Keren Fu +1
We introduce RDVSv2, a large-scale benchmark for RGB-D video salient object detection (RGB-D VSOD) with dense frame-level annotations. Existing datasets in this emerging field are…
Attend to Anything: Foundation Model for Unified Human Attention Modeling
Wenzhuo Zhao, Ronghao Xian, Keren Fu +1
Existing human attention (saliency) modeling methods persist as highly fragmented across modalities, scenes, and task formulations. Consequently, even with increasing model capacit…
Physics-Informed Generative Solver: Bridging Data-Driven Priors and Conservation Laws for Stable Spatiotemporal Field Reconstruction
Ziyuan Zhu, Keyu Hu, Zhifei Chen +10
Reconstructing continuous physical fields from sparse measurements is a central inverse problem, but data-driven generative models can produce states that violate governing dynamic…
:Parallel Kinematic Selective State Space Scanners for Efficient Video Understanding
Lingjie Zeng, Hailun Zhang, Xiwen Wang +1
Temporal modeling remains a fundamental challenge in video understanding, particularly as sequence lengths scale. Traditional video models relying on dense spatiotemporal attention…
Camouflage-aware Image-Text Retrieval via Expert Collaboration
Yao Jiang, Zhongkuan Mao, Xuan Wu +2
Camouflaged scene understanding (CSU) has attracted significant attention due to its broad practical implications. However, in this field, robust image-text cross-modal alignment r…
Dehallu3D: Hallucination-Mitigated 3D Generation from Single Image via Cyclic View Consistency Refinement
Xiwen Wang, Shichao Zhang, Hailun Zhang +5
Large 3D reconstruction models have revolutionized the 3D content generation field, enabling broad applications in virtual reality and gaming. Just like other large models, large 3…
Samba+: General and Accurate Salient Object Detection via A More Unified Mamba-based Framework
Wenzhuo Zhao, Keren Fu, Jiahao He +3
Existing salient object detection (SOD) models are generally constrained by the limited receptive fields of convolutional neural networks (CNNs) and quadratic computational complex…
CapeNext: Rethinking and Refining Dynamic Support Information for Category-Agnostic Pose Estimation
Yu Zhu, Dan Zeng, Shuiwang Li +3
Recent research in Category-Agnostic Pose Estimation (CAPE) has adopted fixed textual keypoint description as semantic prior for two-stage pose matching frameworks. While this para…
Angle-Optimized Partial Disentanglement for Multimodal Emotion Recognition in Conversation
Xinyi Che, Wenbo Wang, Yuanbo Hou +3
Multimodal Emotion Recognition in Conversation (MERC) aims to enhance emotion understanding by integrating complementary cues from text, audio, and visual modalities. Existing MERC…
Orthogonal Disentanglement with Projected Feature Alignment for Multimodal Emotion Recognition in Conversation
Xinyi Che, Wenbo Wang, Jian Guan +1
Multimodal Emotion Recognition in Conversation (MERC) significantly enhances emotion recognition performance by integrating complementary emotional cues from text, audio, and visua…
Imaginarium: Vision-guided High-Quality 3D Scene Layout Generation
Xiaoming Zhu, Xu Huang, Qinghongbing Xie +8
Generating artistic and coherent 3D scene layouts is crucial in digital content creation. Traditional optimization-based methods are often constrained by cumbersome manual rules, w…
Unleashing the Power of Motion and Depth: A Selective Fusion Strategy for RGB-D Video Salient Object Detection
Jiahao He, Daerji Suolang, Keren Fu +1
Applying salient object detection (SOD) to RGB-D videos is an emerging task called RGB-D VSOD and has recently gained increasing interest, due to considerable performance gains of…
Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges
Guanghai Ding, Yihua Ren, Yuting Liu +2
With the rapid advancement of UAV technology and its extensive application in various fields such as military reconnaissance, environmental monitoring, and logistics, achieving eff…
Mamba-based Spatio-Frequency Motion Perception for Video Camouflaged Object Detection
Xin Li, Keren Fu, Qijun Zhao
Existing video camouflaged object detection (VCOD) methods primarily rely on spatial appearances for motion perception. However, the high foreground-background similarity in VCOD l…
QEMesh: Employing A Quadric Error Metrics-Based Representation for Mesh Generation
Jiaqi Li, Ruowei Wang, Yu Liu +1
Mesh generation plays a crucial role in 3D content creation, as mesh is widely used in various industrial applications. Recent works have achieved impressive results but still face…
CamoSAM2: SAM2-oriented Prompt Auto-Refinement for Video Camouflaged Object Detection
Xin Zhang, Keren Fu, Qijun Zhao
The Segment Anything Model 2 (SAM2), a prompt-guided video foundation model, has remarkably performed in video object segmentation, drawing significant attention in the community.…
High-Precision Dichotomous Image Segmentation via Depth Integrity-Prior and Fine-Grained Patch Strategy
Xianjie Liu, Keren Fu, Qijun Zhao
High-precision dichotomous image segmentation (DIS) is a task of extracting fine-grained objects from high-resolution images. Existing methods trade efficiency for accuracy: non-di…
Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
You Wu, Yongxin Li, Mengyuan Liu +6
Transformer-based models have improved visual tracking, but most still cannot run in real time on resource-limited devices, especially for unmanned aerial vehicle (UAV) tracking. T…
MTFusion: Reconstructing Any 3D Object from Single Image Using Multi-word Textual Inversion
Yu Liu, Ruowei Wang, Jiaqi Li +2
Reconstructing 3D models from single-view images is a long-standing problem in computer vision. The latest advances for single-image 3D reconstruction extract a textual description…
GenUDC: High Quality 3D Mesh Generation with Unsigned Dual Contouring Representation
Ruowei Wang, Jiaqi Li, Dan Zeng +4
Generating high-quality meshes with complex structures and realistic surfaces is the primary goal of 3D generative models. Existing methods typically employ sequence data or deform…
Low-Light Object Tracking: A Benchmark
Pengzhi Zhong, Xiaoyu Guo, Defeng Huang +4
In recent years, the field of visual tracking has made significant progress with the application of large-scale training datasets. These datasets have supported the development of…
Camouflaged Object Tracking: A Benchmark
Xiaoyu Guo, Pengzhi Zhong, Hao Zhang +4
Visual tracking has seen remarkable advancements, largely driven by the availability of large-scale training datasets that have enabled the development of highly accurate and robus…
Learning Motion Blur Robust Vision Transformers for Real-Time UAV Tracking
You Wu, Xucheng Wang, Dan Zeng +4
Unmanned aerial vehicle (UAV) tracking is critical for applications like surveillance, search-and-rescue, and autonomous navigation. However, the high-speed movement of UAVs and ta…