research
∙
09/15/2023
EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding
Object understanding in egocentric visual data is arguably a fundamental...
share
research
∙
05/18/2023
Going Denser with Open-Vocabulary Part Segmentation
Object detection has been expanded from a limited number of categories t...
research
∙
12/13/2022
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
Continual Learning, also known as Lifelong or Incremental Learning, has ...
research
∙
03/29/2022
Unified Transformer Tracker for Object Tracking
As an important area in computer vision, object tracking has formed two ...
research
∙
12/09/2021
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search
Efficient video architecture is the key to deploying video recognition s...
research
∙
08/30/2021
Searching for Two-Stream Models in Multivariate Space for Video Recognition
Conventional video models rely on a single stream to capture the complex...
research
∙
08/26/2021
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics
This work targets designing a principled and unified training-free frame...
research
∙
04/22/2021
Multiscale Vision Transformers
We present Multiscale Vision Transformers (MViT) for video and image rec...
research
∙
11/22/2020
FP-NAS: Fast Probabilistic Neural Architecture Search
Differential Neural Architecture Search (NAS) requires all layer choices...
research
∙
10/21/2019
Decoupling Representation and Classifier for Long-Tailed Recognition
The long-tail distribution of the visual world poses great challenges fo...
research
∙
07/19/2019
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling
Understanding temporal information and how the visual world changes over...
research
∙
04/10/2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
In natural images, information is conveyed at different frequencies wher...
research
∙
01/11/2019
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
Motion has shown to be useful for video understanding, where motion is t...
research
∙
11/30/2018
Graph-Based Global Reasoning Networks
Globally modeling and reasoning over relations between regions can be be...
research
∙
12/26/2017
SLAC: A Sparsely Labeled Dataset for Action Classification and Localization
This paper describes a procedure for the creation of large-scale video d...
research
∙
06/29/2016
Learning Concept Taxonomies from Multi-modal Data
We study the problem of automatically building hypernym taxonomies from ...
research
∙
03/15/2016
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
State-of-the-art results of semantic segmentation are established by Ful...
research
∙
12/24/2014
Automatic Photo Adjustment Using Deep Neural Networks
Photo retouching enables photographers to invoke dramatic visual impress...
research
∙
10/03/2014