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20242026
most citedAutonomous Driving in Unstructured Environments: How Far Have We Come?

6 citations · 6 across the 17 of their papers we have counts for

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cs.CV2025

A Parameter-Efficient Mixture-of-Experts Framework for Cross-Modal Geo-Localization

LinFeng Li, Jian Zhao, Zepeng Yang +6

We present a winning solution to RoboSense 2025 Track 4: Cross-Modal Drone Navigation. The task retrieves the most relevant geo-referenced image from a large multi-platform corpus…

cs.CV2025

Loupe: A Generalizable and Adaptive Framework for Image Forgery Detection

Yuchu Jiang, Jiaming Chu, Jian Zhao +5

The proliferation of generative models has raised serious concerns about visual content forgery. Existing deepfake detection methods primarily target either image-level classificat…

cs.CV2024

SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategy

Yuhan Kang, Qingpeng Li, Leyuan Fang +2

Concealed object detection (COD) in cluttered scenes is significant for various image processing applications. However, due to that concealed objects are always similar to their ba…

cs.CV2024

Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model

Yifan Duan, Jian Zhao, pengcheng +8

Spatio-temporal (ST) prediction has garnered a De facto attention in earth sciences, such as meteorological prediction, human mobility perception. However, the scarcity of data cou…

cs.CV2024

Technique Report of CVPR 2024 PBDL Challenges

Ying Fu, Yu Li, Shaodi You +96

The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to info…

cs.CV2024

Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer

Xinpeng Li, Teng Wang, Jian Zhao +5

Emotion recognition aims to discern the emotional state of subjects within an image, relying on subject-centric and contextual visual cues. Current approaches typically follow a tw…

cs.CV2024

LEAF: Unveiling Two Sides of the Same Coin in Semi-supervised Facial Expression Recognition

Fan Zhang, Zhi-Qi Cheng, Jian Zhao +2

Semi-supervised learning has emerged as a promising approach to tackle the challenge of label scarcity in facial expression recognition (FER) task. However, current state-of-the-ar…