Aggregating Frame-level Features for Large-Scale Video Classification. - Shaoxiang Chen 001; Xi Wang 008; Yongyi Tang; Xinpeng Chen; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2017)

Non-local NetVLAD Encoding for Video Classification. - Yongyi Tang; Xing Zhang 013; Jingwen Wang 003; Shaoxiang Chen 001; Lin Ma 002; Yu-Gang Jiang 001 (ECCV Workshops (4), 2018)

ESU-P-Net: Cascading Network for Full Quantification of Left Ventricle from Cine MRI. - Wenjun Yan; Yuanyuan Wang 001; Shaoxiang Chen 001; Rob J. van der Geest; Qian Tao (STACOM@MICCAI, 2018)

Motion Guided Spatial Attention for Video Captioning. - Shaoxiang Chen 001; Yu-Gang Jiang 001 (AAAI, 2019)

Semantic Proposal for Activity Localization in Videos via Sentence Query. - Shaoxiang Chen 001; Yu-Gang Jiang 001 (AAAI, 2019)

Deep Learning for Video Captioning: A Review. - Shaoxiang Chen 001; Ting Yao; Yu-Gang Jiang 001 (IJCAI, 2019)

Black-box Adversarial Attacks on Video Recognition Models. - Linxi Jiang; Xingjun Ma; Shaoxiang Chen 001; James Bailey 001; Yu-Gang Jiang 001 (ACM Multimedia, 2019)

FDU Participation in TRECVID 2019 VTT Task. - Shaoxiang Chen 001; Yu-Gang Jiang 001 (TRECVID, 2019)

Hierarchical Visual-Textual Graph for Temporal Activity Localization via Language. - Shaoxiang Chen 001; Yu-Gang Jiang 001 (ECCV (20), 2020)

Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos. - Shaoxiang Chen 001; Wenhao Jiang; Wei Liu 005; Yu-Gang Jiang 001 (ECCV (4), 2020)

Towards Bridging Event Captioner and Sentence Localizer for Weakly Supervised Dense Event Captioning. - Shaoxiang Chen 001; Yu-Gang Jiang 001 (CVPR, 2021)

Motion Guided Region Message Passing for Video Captioning. - Shaoxiang Chen 001; Yu-Gang Jiang 001 (ICCV, 2021)

Towards Bridging Video and Language by Caption Generation and Sentence Localization. - Shaoxiang Chen 001 (ACM Multimedia, 2021)

MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes. - Yang Jiao; Shaoxiang Chen 001; Zequn Jie; Jingjing Chen 001; Lin Ma 002; Yu-Gang Jiang 001 (ECCV (35), 2022)

MT-Net Submission to the Waymo 3D Detection Leaderboard. - Shaoxiang Chen 001; Zequn Jie; Xiaolin Wei; Lin Ma 002 (CoRR, 2022)

MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection. - Yang Jiao; Zequn Jie; Shaoxiang Chen 001; Jingjing Chen 001; Xiaolin Wei; Lin Ma 002; Yu-Gang Jiang 001 (CoRR, 2022)

MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection. - Yang Jiao; Zequn Jie; Shaoxiang Chen 001; Jingjing Chen 001; Lin Ma 002; Yu-Gang Jiang 001 (CVPR, 2023)

Prompting Large Language Models to Reformulate Queries for Moment Localization. - Wenfeng Yan; Shaoxiang Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2023)

Self-Supervised Learning for Semi-Supervised Temporal Language Grounding. - Fan Luo; Shaoxiang Chen 001; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2023)

Scene Graph Refinement Network for Visual Question Answering. - Tianwen Qian; Jingjing Chen 001; Shaoxiang Chen 001; Bo Wu 018; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2023)

FT-TDR: Frequency-Guided Transformer and Top-Down Refinement Network for Blind Face Inpainting. - Junke Wang; Shaoxiang Chen 001; Zuxuan Wu; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2023)

Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning. - Yang Jiao; Zequn Jie; Shaoxiang Chen 001; Lechao Cheng; Jingjing Chen 001; Lin Ma 002; Yu-Gang Jiang 001 (AAAI, 2024)

Making Large Language Models Better Planners with Reasoning-Decision Alignment. - Zhijian Huang; Tao Tang; Shaoxiang Chen 001; Sihao Lin; Zequn Jie; Lin Ma 002; Guangrun Wang; Xiaodan Liang (ECCV (36), 2024)

Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models. - Yang Jiao; Shaoxiang Chen 001; Zequn Jie; Jingjing Chen 001; Lin Ma 002; Yu-Gang Jiang 001 (NeurIPS, 2024)

LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs. - Shaoxiang Chen 001; Zequn Jie; Lin Ma 002 (CoRR, 2024)

Fewer Tokens and Fewer Videos: Extending Video Understanding Abilities in Large Vision-Language Models. - Shimin Chen; Yitian Yuan; Shaoxiang Chen 001; Zequn Jie; Lin Ma 002 (CoRR, 2024)

MindBench: A Comprehensive Benchmark for Mind Map Structure Recognition and Analysis. - Lei Chen; Feng Yan; Yujie Zhong; Shaoxiang Chen 001; Zequn Jie; Lin Ma 002 (CoRR, 2024)

EventHallusion: Diagnosing Event Hallucinations in Video LLMs. - Jiacheng Zhang; Yang Jiao; Shaoxiang Chen 001; Jingjing Chen 001; Yu-Gang Jiang 001 (CoRR, 2024)

EAGLE: Towards Efficient Arbitrary Referring Visual Prompts Comprehension for Multimodal Large Language Models. - Jiacheng Zhang; Yang Jiao; Shaoxiang Chen 001; Jingjing Chen 001; Yu-Gang Jiang 001 (CoRR, 2024)

UniToken: Harmonizing Multimodal Understanding and Generation through Unified Visual Encoding. - Yang Jiao; Haibo Qiu; Zequn Jie; Shaoxiang Chen 001; Jingjing Chen 001; Lin Ma 002; Yu-Gang Jiang 001 (CVPR Workshops, 2025)

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks. - Jiayu Wang; Yang Jiao; Yue Yu; Tianwen Qian; Shaoxiang Chen 001; Jingjing Chen 001; Yu-Gang Jiang 001 (CoRR, 2025)

ControlThinker: Unveiling Latent Semantics for Controllable Image Generation through Visual Reasoning. - Feng Han; Yang Jiao; Shaoxiang Chen 001; Junhao Xu; Jingjing Chen 001; Yu-Gang Jiang 001 (CoRR, 2025)