most citedOriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning

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cs.CV2025

EVDI++: Event-based Video Deblurring and Interpolation via Self-Supervised Learning

Chi Zhang, Xiang Zhang, Chenxu Jiang +2

Frame-based cameras with extended exposure times often produce perceptible visual blurring and information loss between frames, significantly degrading video quality. To address th…

cs.CV2025

RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution

Haodong He, Yancheng Bai, Rui Lan +4

The rich textual information of large vision-language models (VLMs) combined with the powerful generative prior of pre-trained text-to-image (T2I) diffusion models has achieved imp…

cs.CV2025

Cross-View Localization via Redundant Sliced Observations and A-Contrario Validation

Yongjun Zhang, Mingtao Xiong, Yi Wan +1

Cross-view localization (CVL) matches ground-level images with aerial references to determine the geo-position of a camera, enabling smart vehicles to self-localize offline in GNSS…

cs.CV20251 cited

Mitigating the Impact of Prominent Position Shift in Drone-based RGBT Object Detection

Yan Zhang, Wen Yang, Chang Xu +3

Drone-based RGBT object detection plays a crucial role in many around-the-clock applications. However, real-world drone-viewed RGBT data suffers from the prominent position shift p…

cs.CV20241 cited

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning

Chang Xu, Ruixiang Zhang, Wen Yang +4

Detecting oriented tiny objects, which are limited in appearance information yet prevalent in real-world applications, remains an intricate and under-explored problem. To address t…

cs.CV20241 cited

Tiny Object Detection with Single Point Supervision

Haoran Zhu, Chang Xu, Ruixiang Zhang +4

Tiny objects, with their limited spatial resolution, often resemble point-like distributions. As a result, bounding box prediction using point-level supervision emerges as a natura…