research
∙
04/05/2023
VicTR: Video-conditioned Text Representations for Activity Recognition
Vision-Language models have shown strong performance in the image-domain...
share
research
∙
11/16/2022
Token Turing Machines
We propose Token Turing Machines (TTM), a sequential, autoregressive Tra...
research
∙
10/28/2022
Grafting Vision Transformers
Vision Transformers (ViTs) have recently become the state-of-the-art acr...
research
∙
12/07/2021
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
Action detection is an essential and challenging task, especially for de...
research
∙
11/26/2021
SWAT: Spatial Structure Within and Among Tokens
Modeling visual data as tokens (i.e., image patches), and applying atten...
research
∙
11/26/2021
Self-supervised Pretraining with Classification Labels for Temporal Activity Detection
Temporal Activity Detection aims to predict activity classes per frame, ...
research
∙
03/01/2021
Coarse-Fine Networks for Temporal Activity Detection in Videos
In this paper, we introduce 'Coarse-Fine Networks', a two-stream archite...
research
∙
06/24/2020
Feature-dependent Cross-Connections in Multi-Path Neural Networks
Learning a particular task from a dataset, samples in which originate fr...
research
∙
07/26/2019
Context-Aware Multipath Networks
Making a single network effectively address diverse contexts---learning ...
research
∙
07/26/2019
LinearConv: Regenerating Redundancy in Convolution Filters as Linear Combinations for Parameter Reduction
Convolutional Neural Networks (CNNs) show state-of-the-art performance i...
research
∙
05/07/2019
Context-Aware Automatic Occlusion Removal
Occlusion removal is an interesting application of image enhancement, fo...
research
∙
11/16/2018