2 citations · 3 across the 11 of their papers we have counts for
12 papers
AdaThinkV: Adaptive Thinking for Token-Efficient Video Reasoning
Jingqi Tian, Haoji Zhang, Lin Chen +7
Chain-of-thought (CoT) reasoning can improve performance on difficult video questions but often wastes decoding tokens on simple ones. We study whether a video multimodal large lan…
FoodMonitor: Benchmarking MLLMs for Explainable Compliance Analysis
Ruihao Xu, Xingming Shui, Jingxuan Niu +4
As AI-powered compliance monitoring becomes increasingly important in public governance and industrial safety, the ability to provide verifiable evidence and traceable accountabili…
ChatUMM: Robust Context Tracking for Conversational Interleaved Generation
Wenxun Dai, Zhiyuan Zhao, Yule Zhong +12
Unified multimodal models (UMMs) have achieved remarkable progress yet remain constrained by a single-turn interaction paradigm, effectively functioning as solvers for independent…
VG-Refiner: Towards Tool-Refined Referring Grounded Reasoning via Agentic Reinforcement Learning
Yuji Wang, Wenlong Liu, Jingxuan Niu +2
Tool-integrated visual reasoning (TiVR) has demonstrated great potential in enhancing multimodal problem-solving. However, existing TiVR paradigms mainly focus on integrating vario…
Delayed Bidirectional Alignment via Disentangled Audio Semantics for Audio-Visual Segmentation
Jingqi Tian, Yiheng Du, Haoji Zhang +6
Audio-Visual Segmentation (AVS) aims to localize sound-producing objects at the pixel level by integrating auditory and visual cues. However, existing methods often struggle with m…
Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning
Haoji Zhang, Xin Gu, Jiawen Li +7
The video reasoning ability of multimodal large language models (MLLMs) is crucial for downstream tasks like video question answering and temporal grounding. While recent approache…
Flash-VStream: Efficient Real-Time Understanding for Long Video Streams
Haoji Zhang, Yiqin Wang, Yansong Tang +3
Benefiting from the advances in large language models and cross-modal alignment, existing multimodal large language models have achieved prominent performance in image and short vi…
UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning
Sule Bai, Mingxing Li, Yong Liu +5
Traditional visual grounding methods primarily focus on single-image scenarios with simple textual references. However, extending these methods to real-world scenarios that involve…
Ponder & Press: Advancing Visual GUI Agent towards General Computer Control
Yiqin Wang, Haoji Zhang, Jingqi Tian +1
Most existing GUI agents typically depend on non-vision inputs like HTML source code or accessibility trees, limiting their flexibility across diverse software environments and pla…
Self-Calibrated CLIP for Training-Free Open-Vocabulary Segmentation
Sule Bai, Yong Liu, Yifei Han +4
Recent advancements in pre-trained vision-language models like CLIP have enabled the task of open-vocabulary segmentation. CLIP demonstrates impressive zero-shot capabilities in va…
Hierarchical Memory for Long Video QA
Yiqin Wang, Haoji Zhang, Yansong Tang +4
This paper describes our champion solution to the LOVEU Challenge @ CVPR'24, Track 1 (Long Video VQA). Processing long sequences of visual tokens is computationally expensive and m…
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams
Haoji Zhang, Yiqin Wang, Yansong Tang +4
Benefiting from the advancements in large language models and cross-modal alignment, existing multi-modal video understanding methods have achieved prominent performance in offline…