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20242026
most citedSimple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval

30 citations · 61 across the 18 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

Thinking Beyond Videos: Unifying Video Reasoning and Deep Research for Open-World Video Agents

Wenqi Liu, Shijie Ma, Yunxiao Wang +21

Open-world video understanding often requires a model to locate sparse visual evidence and acquire external knowledge that is absent from the video and its parametric memory. While…

cs.HC2026

EmAvatar: Multimodal Empathetic Response Generation via Conflict Resolution and Expressive Guidance

Xiaolin Chen, Xuemeng Song, Jinlan Fu +3

Avatar-based multimodal empathetic response generation has emerged as a pivotal capability in human-centric systems, aiming to recognize user emotions and synthesize responses with…

cs.CL2026

ArtECulture: Benchmarking Culture-Conditioned Visual Emotion Understanding in Multimodal Large Language Models

Xiaolin Chen, Xuemeng Song, Wenhao Shi +3

Existing visual emotion understanding methods typically ignore cultural variations in emotional perception. We introduce culture-conditioned visual emotion understanding, a task th…

cs.CV2026

FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval

Bohan Hou, Haoqiang Lin, Xuemeng Song +4

Due to their strong generalizable multimodal processing and reasoning capabilities, Multimodal Large Language Models (MLLMs) have demonstrated significant potential as universal im…

cs.CV2026

Diverse-Intent Multi-Turn Fashion Image Retrieval

Mingqiang Tang, Haokun Wen, Meng Liu +3

Real-world fashion search involves interactive retrieval across multiple turns. However, existing multi-turn retrieval methods are built on a restrictive assumption that every inte…

cs.CV2026

FashionLens: Toward Versatile Fashion Image Retrieval via Task-Adaptive Learning

Haokun Wen, Xuemeng Song, Xinghao Xie +3

Fashion image retrieval is a cornerstone of modern e-commerce systems. A unified framework that supports diverse query formats and search intentions is highly desired in practice.…

cs.CV2026

OSGNet with MLLM Reranking @ Ego4D Episodic Memory Challenge 2026

Yisen Feng, Leigang Qu, Haoyu Zhang +5

In this report, we present our champion solutions for the Natural Language Queries and GoalStep tracks of the Ego4D Episodic Memory Challenge at CVPR 2026. Both tracks require accu…

cs.CV2026

InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search

Bohan Hou, Jiuning Gu, Jiayan Guo +5

Existing benchmarks for multimodal agentic search evaluate multimodal search and visual browsing, but visual evidence is either confined to the input or treated as an answer endpoi…

cs.CV2026

UniCVR: From Alignment to Reranking for Unified Zero-Shot Composed Visual Retrieval

Haokun Wen, Xuemeng Song, Haoyu Zhang +3

Composed image retrieval, multi-turn composed image retrieval, and composed video retrieval all share a common paradigm: composing the reference visual with modification text to re…

cs.CV2026

VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos

Wenqi Liu, Yunxiao Wang, Shijie Ma +14

In long-video understanding, conventional uniform frame sampling often fails to capture key visual evidence, leading to degraded performance and increased hallucinations. To addres…