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Haoran Chen

5 papers indexed

arxivcs.CV2026-07-20

To Blend In, First Decouple: Rethinking Camouflage Image Generation via Context-Decoupled Representations

Wenzhuang Wang, Yifan Zhao, Mingcan Ma, Yunlong Che, Haoran Chen, Ming Liu, et al.

Camouflage image generation (CIG) focuses on generating visually concealed objects that seamlessly blend into their backgrounds. Existing methods typically follow either background-guided paradigms that adapt object appearance via style transfer, or foreground-guided strategies t…

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arxivcs.CV2026-07-19

TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs

Yuhan Zhu, Changlian Ma, Xiangyu Zeng, Xinhao Li, Zhiqiu Zhang, Songze Li, et al.

Video multimodal large language models (MLLMs) can describe what happens in a video, but rarely identify when the supporting evidence occurs. We study generalist video temporal grounding, in which one model predicts a variable-cardinality set of evidence intervals across video le…

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arxivcs.CV2026-07-16

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding

Xinhao Li, Yuhan Zhu, Xiangyu Zeng, Yuhao Dong, Haoning Wu, Zhiqiu Zhang, et al.

Recent advances in video understanding have spanned motion, long video, and streaming interaction, driving this field toward real-world applications. Despite this progress, current open-source models remain limited in several ways. They often struggle to generalize across diverse…

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crossrefAdvanced Materials2026-06-06

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan

ABSTRACT The development of efficient catalysts for nitrogen conversion to ammonia is critical for a sustainable alternative to the energy‐intensive Haber–Bosch process. Yet, rational catalyst design remains highly challenging, compounded by complex structure–function relationshi…

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crossrefEnergies2025-09-01Cited by 6

Research on Transmission Line Icing Prediction for Power System Based on Improved Snake Optimization Algorithm-Optimized Deep Hybrid Kernel Extreme Learning Machine

Guanhua Li, Haoran Chen, Shicong Sun, Tie Guo, Luyu Yang

As extreme weather events become more frequent, the icing of transmission lines in winter has become more common, causing significant economic losses to power systems and drawing increasing attention. However, owing to the complexity of the conductor icing process, establishing h…

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