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20202026
most citedSupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners

14 citations · 36 across the 26 of their papers we have counts for

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Showing 2024 · cs.CVShow all

6 papers · 2 filters

cs.CV2024

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images

Dennis Menn, Feng Liang, Hung-Yueh Chiang +1

Artifact detection algorithms are crucial to correcting the output generated by diffusion models. However, because of the variety of artifact forms, existing methods require substa…

cs.CV2024★ 1 cited

MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers

Tanvir Mahmud, Shentong Mo, Yapeng Tian +1

Recent advances in pre-trained vision transformers have shown promise in parameter-efficient audio-visual learning without audio pre-training. However, few studies have investigate…

cs.CV2024

Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior

Tanvir Mahmud, Mustafa Munir, Radu Marculescu +1

Video-to-video synthesis poses significant challenges in maintaining character consistency, smooth temporal transitions, and preserving visual quality during fast motion. While rec…

cs.CV2024

Looking Backward: Streaming Video-to-Video Translation with Feature Banks

Feng Liang, Akio Kodaira, Chenfeng Xu +3

This paper introduces StreamV2V, a diffusion model that achieves real-time streaming video-to-video (V2V) translation with user prompts. Unlike prior V2V methods using batches to p…

cs.CV2024

T-VSL: Text-Guided Visual Sound Source Localization in Mixtures

Tanvir Mahmud, Yapeng Tian, Diana Marculescu

Visual sound source localization poses a significant challenge in identifying the semantic region of each sounding source within a video. Existing self-supervised and weakly superv…

cs.CV2024

PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference

Tanvir Mahmud, Burhaneddin Yaman, Chun-Hao Liu +1

As deep neural networks evolve from convolutional neural networks (ConvNets) to advanced vision transformers (ViTs), there is an increased need to eliminate redundant data for fast…