Invertible Diffusion Models for Compressed Sensing
While deep neural networks (NNs) significantly advance image compressed sensing (CS) by improving reconstruction quality, the necessity of training current CS NNs from scratch …
Bin chen
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1 min read
BOLT: Boost Large Vision-Language Model Without Training for Long-form Video Understanding
Large video-language models (VLMs) have demonstrated promising progress in various video understanding tasks. However, their effectiveness in long-form video analysis is …
Shuming liu
OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction
Exposure correction is a fundamental problem in computer vision and image processing. Recently, frequency domainbased methods have achieved impressive improvement, yet they still …
Gehui li
SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning
Masked video modeling, such as VideoMAE, is an effective paradigm for video self-supervised learning (SSL). However, they are primarily based on reconstructing pixellevel details …
Fida mohammad thoker
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning
Continued advances in self-supervised learning have led to significant progress in video representation learning, offering a scalable alternative to supervised approaches by …
Fida mohammad thoker
OpenTAD: A Unified Framework and Comprehensive Study of Temporal Action Detection
Temporal action detection (TAD) is a fundamental video understanding task that aims to identify human actions and localize their temporal boundaries in videos. Although this field …
Shuming liu
Effectiveness of Max-Pooling for Fine-Tuning CLIP on Videos
CLIP is a powerful spatial feature extractor trained on a large dataset of image-text pairs. It exhibits strong generalization when extended to other domains and modalities. …
Fatimah zohra
Ego4D: Around the World in 3,000 Hours of Egocentric Video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (house-hold, …
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Towards Automated Movie Trailer Generation
Movie trailers are an essential tool for promoting films and attracting audiences. However the process of creating trailers can be time-consuming and expensive. To streamline this …
Dawit mureja argaw