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20222026
most citedDiffusionRet: Generative Text-Video Retrieval with Diffusion Model

7 citations · 18 across the 17 of their papers we have counts for

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16 papers · 1 filter

cs.CV2026

MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language Generalization

Gengyuan Liu, Nanzhou Wang, Chang Liu +5

Vision-language models exhibit remarkable zero-shot capabilities but suffer significant performance degradation under distribution shifts. While test-time adaptation (TTA) via Low-…

cs.CV2025★ 1 cited

RT-DETRv4: Painlessly Furthering Real-Time Object Detection with Vision Foundation Models

Zijun Liao, Yian Zhao, Xin Shan +5

Real-time object detection has achieved substantial progress through meticulously designed architectures and optimization strategies. However, the pursuit of high-speed inference v…

cs.CV2024

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Pengchong Qiao, Lei Shang, Chang Liu +3

Subject-driven generation has garnered significant interest recently due to its ability to personalize text-to-image generation. Typical works focus on learning the new subject's p…

cs.CV2023

Towards Real-World Burst Image Super-Resolution: Benchmark and Method

Pengxu Wei, Yujing Sun, Xingbei Guo +4

Despite substantial advances, single-image super-resolution (SISR) is always in a dilemma to reconstruct high-quality images with limited information from one input image, especial…

cs.CV2023

U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds

Yan Di, Chenyangguang Zhang, Ruida Zhang +6

In this paper, we propose U-RED, an Unsupervised shape REtrieval and Deformation pipeline that takes an arbitrary object observation as input, typically captured by RGB images or s…

cs.CV2023

WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation

Zesen Cheng, Peng Jin, Hao Li +5

The top-down and bottom-up methods are two mainstreams of referring segmentation, while both methods have their own intrinsic weaknesses. Top-down methods are chiefly disturbed by…