Deep learning

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 …
Dawit Mureja Argaw, Mattia Soldan, Alejandro Pardo, Chen Zhao, Fabian Caba Heilbron, Joon Son Chung, Bernard Ghanem
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Towards Automated Movie Trailer Generation
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
Large pretrained models are increasingly crucial in modern computer vision tasks. These models are typically used in downstream tasks …
Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem
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Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames
Recently, temporal action detection (TAD) has seen significant performance improvement with end-to-end training. However, due to the …
Shuming Liu, Chen-Lin Zhang, Chen Zhao, Bernard Ghanem
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End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
Temporal action localization (TAL) requires long-form reasoning to predict actions of various durations and complex content. Given …
Chen Zhao, Shuming Liu, Karttikeya Mangalam, Bernard Ghanem
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Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries
With the recent advances in video and 3D understanding, novel 4D spatio-temporal methods fusing both concepts have emerged. Towards …
Jinjie Mai, Abdullah Hamdi, Silvio Giancola, Chen Zhao, Bernard Ghanem
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EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Recently, conditional diffusion models have gained popularity in numerous applications due to their exceptional generation ability. …
Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang
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FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
The ‘pre-training → downstream adaptation’ presents both new opportunities and challenges for Continual Learning (CL). …
Qiankun Gao, Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, Jian Zhang
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A Unified Continual Learning Framework with General Parameter-Efficient Tuning
Large-capacity and Flexible Video Steganography via Invertible Neural Network
Video steganography is the art of unobtrusively concealing secret data in a cover video and then recovering the secret data through a …
Chong Mou, Youmin Xu, Jiechong Song, Chen Zhao, Bernard Ghanem, Jian Zhang
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Large-capacity and Flexible Video Steganography via Invertible Neural Network
ETAD: Training Action Detection End to End on a Laptop
Untrimmed video understanding such as temporal action detection (TAD) often suffers from the pain of huge demand for computing …
Shuming Liu, Mengmeng Xu, Chen Zhao, Xu Zhao, Bernard Ghanem
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ETAD: Training Action Detection End to End on a Laptop
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning
Class-incremental learning is one of the most important settings for the study of Continual Learning, as it closely resembles …
Lama Alssum, Juan Leo ́n Alca ́zar, Merey Ramazanova, Chen Zhao, Bernard Ghanem
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Just a Glimpse: Rethinking Temporal Information for Video Continual Learning