583 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN157 papers
- University of Chinese Academy of SciencesCN99 papers
- Institute of AutomationCN78 papers
- Beijing Academy of Artificial IntelligenceCN35 papers
- Tsinghua UniversityCN19 papers
- Beihang UniversityCN11 papers
- Center for Excellence in Brain Science and Intelligence TechnologyCN11 papers
- Peking UniversityCN10 papers
- Beijing Institute of TechnologyCN9 papers
- Nanjing UniversityCN8 papers
- Beijing University of Posts and TelecommunicationsCN7 papers
- Tencent (China)CN7 papers
223 papers
Audio-Visual Segmentation via Depth-Guided Collaborative Modeling
Zhaojin Fu, Yuyang Hong, Qi Yang +4
Audio-Visual Segmentation (AVS) is a fundamental task in multimodal perception that performs pixel-level segmentation of sounding objects in videos by leveraging both visual and au…
SymDiag: Explainable Diagnosis for LLM Reasoning via Neuro-Symbolic Verification
Wenyao Cui, Huaping Zhang, Yongyi Huang +6
Large language models (LLMs) increasingly serve as data-driven reasoners, yet their chains-of-thought (CoT) can be unfaithful even when final answers are correct. Most existing ``v…
Geometry-Aware Camera Localization for Bronchoscopy
Lumin Chen, Qingyao Tian, Jinpeng Li +5
Camera localization in bronchoscopy remains a challenging problem due to stringent accuracy requirements, real-time constraints, and limited training data. Compared to natural scen…
Nexus: Native Mesh Generation with Diffusion
Hanxiao Wang, Ying-Tian Liu, Yuan-Chen Guo +5
Generating high-quality triangle meshes is essential for film, gaming, and interactive 3D applications. Mainstream methods rely on mesh serialization and autoregressive processes,…
Disentanglement-Based Equivariant Learning for Compositional VQA
Zhou Du, Zhaoquan Yuan, Xiao Wu +1
Compositional visual question answering (VQA) represents a challenging yet fundamental task that requires models to comprehend novel combinations of previously learned concepts. Th…
Adaptive 3D Convolution for Remote Sensing Image Fusion
Siran Peng, Xiangyu Zhu, Shang-Qi Deng +2
Remote sensing image fusion aims to create a high-resolution multi/hyper-spectral image from a high-resolution image with limited spectral information and a low-resolution image wi…
SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model
Shiyue Cao, Pei Xu, Likun Yang +3
Accurately predicting opponents' behavior from interactions is a fundamental capability for large language model (LLM)-based agents in multi-agent and game-theoretic environments.…
Repeated Deceptive Path Planning against Learnable Observer
Shiyue Cao, Pei Xu, Likun Yang +6
We study the problem of deceptive path planning (DPP), where an agent aims to conceal its true destination from external observers. While existing work assumes static, non-learning…
Module-valued ordinary differential equations and structure of solution spaces
Shengda Liu, Yu-Zhe Liu, Keyu Tao
We define and study ordinary differential equations (ODEs) for functions valued in a Banach module over a finite-dimensional -algebra by using the tensor of B…
CasLayout: Cascaded 3D Layout Diffusion for Indoor Scene Synthesis with Implicit Relation Modeling
Yingrui Wu, Youkang Kong, Mingyang Zhao +3
Synthesizing realistic 3D indoor scenes remains challenging due to data scarcity and the difficulty of simultaneously enforcing global architectural constraints and local semantic…
Think While Watching: Online Streaming Segment-Level Memory for Multi-Turn Video Reasoning in Multimodal Large Language Models
Lu Wang, Zhuoran Jin, Yupu Hao +4
Multimodal large language models (MLLMs) have shown strong performance on offline video understanding, but most are limited to offline inference or have weak online reasoning, maki…
ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts
Yaping Zhang, Yupu Liang, Zhiyang Zhang +5
Document Image Machine Translation (DIMT) seeks to translate text embedded in document images from one language to another by jointly modeling both textual content and page layout,…
StegaFFD: Privacy-Preserving Face Forgery Detection via Fine-Grained Steganographic Domain Lifting
Guoqing Ma, Xun Lin, Hui Ma +6
Most existing Face Forgery Detection (FFD) models assume access to raw face images. In practice, under a client-server framework, private facial data may be intercepted during tran…
Involution game with migration and spatial heterogeneity of social resources
Bo Li, Qiwen Ge, Yong Shi
Involution -- a phenomenon of excessive competition with diminishing returns -- has become a pressing socio-economic concern in contemporary China, prompting both academic inquiry…
Affinity Contrastive Learning for Skeleton-based Human Activity Understanding
Hongda Liu, Yunfan Liu, Min Ren +3
In skeleton-based human activity understanding, existing methods often adopt the contrastive learning paradigm to construct a discriminative feature space. However, many of these a…
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization
Boxiao Wang, Kai Li, Tianyi Liu +4
Symbolic regression aims to distill mathematical equations from observational data. Recent approaches have successfully leveraged Large Language Models (LLMs) to generate equation…
Hermes the Polyglot: A Unified Framework to Enhance Expressiveness for Multimodal Interlingual Subtitling
Chaoqun Cui, Shijing Wang, Liangbin Huang +4
Interlingual subtitling, which translates subtitles of visual media into a target language, is essential for entertainment localization but has not yet been explored in machine tra…
What Should I Cite? A RAG Benchmark for Academic Citation Prediction
Leqi Zheng, Jiajun Zhang, Canzhi Chen +13
With the rapid growth of Web-based academic publications, more and more papers are being published annually, making it increasingly difficult to find relevant prior work. Citation…
ReSPIRe: Informative and Reusable Belief Tree Search for Robot Probabilistic Search and Tracking in Unknown Environments
Kangjie Zhou, Zhaoyang Li, Han Gao +4
Target search and tracking (SAT) is a fundamental problem for various robotic applications such as search and rescue and environmental exploration. This paper proposes an informati…
DMC: Dual-Modal Counterfactual Contrastive Construction for Egocentric Video Question Answering
Jiayi Zou, Chaofan Chen, Bing-Kun Bao +1
Egocentric Video Question Answering (Egocentric VideoQA) plays an important role in egocentric video understanding, which refers to answering questions based on first-person videos…
SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM
Lin Chen, Yingjian Zhu, Qi Yang +3
Open-vocabulary semantic segmentation (OVSS) aims to segment and recognize objects universally. Trained on extensive high-quality segmentation data, the segment anything model (SAM…
StreamingCoT: A Dataset for Temporal Dynamics and Multimodal Chain-of-Thought Reasoning in Streaming VideoQA
Yuhang Hu, Zhenyu Yang, Shihan Wang +5
The rapid growth of streaming video applications demands multimodal models with enhanced capabilities for temporal dynamics understanding and complex reasoning. However, current Vi…
ToxiEval-ZKP: A Structure-Private Verification Framework for Molecular Toxicity Repair Tasks
Fei Lin, Tengchao Zhang, Ziyang Gong +1
In recent years, generative artificial intelligence (GenAI) has demonstrated remarkable capabilities in high-stakes domains such as molecular science. However, challenges related t…
Task-Oriented Learning for Automatic EEG Denoising
Tian-Yu Xiang, Zheng Lei, Xiao-Hu Zhou +7
Electroencephalography (EEG) denoising methods typically depend on manual intervention or clean reference signals. This work introduces a task-oriented learning framework for autom…