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20242026
most citedBridging Visual Affective Gap: Borrowing Textual Knowledge by Learning from Noisy Image-Text Pairs

6 citations · 10 across the 18 of their papers we have counts for

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11 papers · 1 filter

cs.AI2026

Towards Omni-dimensional GUI Agent Navigation with Masked Trajectory Prediction

Yan Zhang, Pei Fu, Daiqing Wu +8

Graphical User Interface (GUI) Agents autonomously interact with software to fulfill user requests, where GUI navigation stands out as the most critical and challenging capability.…

cs.CV2026

Knowing Beyond the Known: Reinforced Knowledge Specification for Multi-Label Class-Incremental Learning

Aoting Zhang, Dongbao Yang, Chang Liu +3

Existing class-incremental learning methods struggle in multi-label scenarios (MLCIL) due to the inherent contradiction of learning objectives arising from co-occurring and incompl…

cs.CV2026

MVEI & EmObserver: Empowering MLLM-Oriented Visual Emotional Intelligence via Emotion Statement Judgement

Daiqing Wu, Dongbao Yang, Jiashu Yao +4

Affective Image Content Analysis (AICA) aims to recognize and understand emotions elicited by visual content, representing an indispensable step toward Artificial General Intellige…

cs.CV2026

Orthogonal Knowledge Refreshing for Domain-Incremental Object Detection

Aoting Zhang, Dongbao Yang, Chang Liu +3

Domain-incremental object detection (DIOD) requires models to continually adapt to new domains while preserving prior knowledge. Recently, parameter-efficient fine-tuning offers a…

cs.CV2026

UniTranslator: A Unified Multi-modal Framework for End-to-end In-Image Machine Translation

Jiahao Lyu, Pei Fu, Zhenhang Li +6

In-Image Machine Translation (IIMT) aims to translate scene text in an image and render the translated text back into the original regions while preserving the overall visual appea…

cs.CV2026

Chronicles-OCR: A Cross-Temporal Perception Benchmark for the Evolutionary Trajectory of Chinese Characters

Gengluo Li, Shangpin Peng, Xingyu Wan +16

Vision Large Language Models (VLLMs) have achieved remarkable success in modern text-rich visual understanding. However, their perceptual robustness in the face of the continuous m…

cs.AI2026

Learn where to Click from Yourself: On-Policy Self-Distillation for GUI Grounding

Yan Zhang, Daiqing Wu, Huawen Shen +2

Graphical User Interface (GUI) grounding maps natural language instructions to the visual coordinates of target elements and serves as a core capability for autonomous GUI agents.…

cs.CV2026

Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training

Gengluo Li, Pengyuan Lyu, Chengquan Zhang +7

Document parsing has recently advanced with multimodal large language models (MLLMs) that directly map document images to structured outputs. Traditional cascaded pipelines depend…

cs.CV2026

IMTBench: A Multi-Scenario Cross-Modal Collaborative Evaluation Benchmark for In-Image Machine Translation

Jiahao Lyu, Pei Fu, Zhenhang Li +7

End-to-end In-Image Machine Translation (IIMT) aims to convert text embedded within an image into a target language while preserving the original visual context, layout, and render…

cs.CV2026

MMTIT-Bench: A Multilingual and Multi-Scenario Benchmark with Cognition-Perception-Reasoning Guided Text-Image Machine Translation

Gengluo Li, Chengquan Zhang, Yupu Liang +9

End-to-end text-image machine translation (TIMT), which directly translates textual content in images across languages, is crucial for real-world multilingual scene understanding.…

cs.SD2026

Echo: Towards Advanced Audio Comprehension via Audio-Interleaved Reasoning

Daiqing Wu, Xuan Zhang, Dongbao Yang +7

The maturation of Large Audio Language Models (LALMs) has raised growing expectations for them to comprehend complex audio much like humans. Current efforts primarily replicate tex…