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20182025
most citedKBNet: Kernel Basis Network for Image Restoration

35 citations · 55 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results

Dasong Li, Sizhuo Ma, Hang Hua +40

This paper presents an overview of the VQualA 2025 Challenge on Engagement Prediction for Short Videos, held in conjunction with ICCV 2025. The challenge focuses on understanding a…

cs.CV2024

Delving Deep into Engagement Prediction of Short Videos

Dasong Li, Wenjie Li, Baili Lu +4

Understanding and modeling the popularity of User Generated Content (UGC) short videos on social media platforms presents a critical challenge with broad implications for content c…

cs.CV2024★ 1 cited

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang +9

We introduce Motion-I2V, a novel framework for consistent and controllable image-to-video generation (I2V). In contrast to previous methods that directly learn the complicated imag…

cs.CV2023★ 11 cited

A Unified Conditional Framework for Diffusion-based Image Restoration

Yi Zhang, Xiaoyu Shi, Dasong Li +3

Diffusion Probabilistic Models (DPMs) have recently shown remarkable performance in image generation tasks, which are capable of generating highly realistic images. When adopting D…

cs.CV2023★ 35 cited

KBNet: Kernel Basis Network for Image Restoration

Yi Zhang, Dasong Li, Xiaoyu Shi +5

How to aggregate spatial information plays an essential role in learning-based image restoration. Most existing CNN-based networks adopt static convolutional kernels to encode spat…

cs.CV2023★ 4 cited

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation

Xiaoyu Shi, Zhaoyang Huang, Dasong Li +6

FlowFormer introduces a transformer architecture into optical flow estimation and achieves state-of-the-art performance. The core component of FlowFormer is the transformer-based c…