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03/24/2023
Towards Scalable Neural Representation for Diverse Videos
Implicit neural representations (INR) have gained increasing attention i...
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02/16/2023
MINOTAUR: Multi-task Video Grounding From Multimodal Queries
Video understanding tasks take many forms, from action detection to visu...
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02/01/2023
Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
Contrastive Language-Image Pretraining (CLIP) has demonstrated impressiv...
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01/10/2023
Vision Transformers Are Good Mask Auto-Labelers
We propose Mask Auto-Labeler (MAL), a high-quality Transformer-based mas...
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03/29/2022
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to recognize and loc...
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11/23/2021
Efficient Video Transformers with Spatial-Temporal Token Selection
Video transformers have achieved impressive results on major video recog...
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11/22/2021
Semi-Supervised Vision Transformers
We study the training of Vision Transformers for semi-supervised image c...
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04/02/2021
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories
The standard way of training video models entails sampling at each itera...
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12/15/2020
GTA: Global Temporal Attention for Video Action Understanding
Self-attention learns pairwise interactions via dot products to model lo...
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07/20/2020
Hierarchical Contrastive Motion Learning for Video Action Recognition
One central question for video action recognition is how to model motion...
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07/19/2020
A Generic Visualization Approach for Convolutional Neural Networks
Retrieval networks are essential for searching and indexing. Compared to...
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09/10/2019
Cross-X Learning for Fine-Grained Visual Categorization
Recognizing objects from subcategories with very subtle differences rema...
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04/19/2019
STEP: Spatio-Temporal Progressive Learning for Video Action Detection
In this paper, we propose Spatio-TEmporal Progressive (STEP) action dete...
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01/23/2019
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
We cast visual retrieval as a regression problem by posing triplet loss ...
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06/16/2018
Two Stream Self-Supervised Learning for Action Recognition
We present a self-supervised approach using spatio-temporal signals betw...
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05/08/2018
The Effectiveness of Instance Normalization: a Strong Baseline for Single Image Dehazing
We propose a novel deep neural network architecture for the challenging ...
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07/10/2017
An Interactive Greedy Approach to Group Sparsity in High Dimension
Sparsity learning with known grouping structures has received considerab...
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04/11/2017