| 41 |
29/04/2021 |
Videos as Space-Time Region Graphs |
Guermal Mohammed |
| 40 |
23/04/2021 |
ViViT: A Video Vision Transformer |
Valeriya Strizhkova |
| 39 |
16/04/2021 |
Exploring Simple Siamese Representation Learning |
Hao Chen |
| 38 |
08/04/2021 |
First Order Motion Model for Image Animation |
Yaohui Wang |
| 37 |
02/04/2021 |
Perceiver: General Perception with Iterative Attention |
Vishal Pani |
| 36 |
05/03/2021 |
UNITER: UNiversal Image-TExt Representation Learning |
Jen-Cheng Hou |
| 35 |
26/02/2021 |
Unsupervised Representation Learning for Gaze Estimation |
Neelabh Sinha |
| 34 |
21/02/2021 |
TrackFormer: Multi-Object Tracking with Transformers |
Tanay Agrawal |
| 33 |
05/02/2021 |
Video Classification with Channel-Separated Convolutional Networks |
Mohammed |
| 32 |
29/01/2021 |
CSN: Channel-separated network model |
Abid Ali |
| 31 |
15/01/2021 |
Contrastive Cross-View Mutual Information Maximization |
Valeriya Strizhkova |
| 30 |
07/01/2021 |
Rethinking Attention with Performers |
Juan Diego |
| 29 |
18/12/2020 |
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild |
Mohsen |
| 28 |
04/12/2020 |
How Unique Is a Face: An Investigative Study |
Michal Balazia |
| 27 |
19/11/2020 |
Hierarchical Localization for Joint Object Detection and Tracking |
Farhood Negin |
| 26 |
16/10/2020 |
Making a Case for 3D Convolutions for Object Segmentation in Videos |
Juan Diego |
| 25 |
09/10/2020 |
FreeAnchor: Learning to Match Anchors for VisualObject Detection |
Ujjwal |
| 24 |
11/09/2020 |
Presentation of Prof. Dima Damen on Video Understanding |
Dima Damen |
| 23 |
04/09/2020 |
Interpreting the Latent Space of GANs for Semantic Face Editing |
Yaohui Wang |
| 22 |
14/08/2020 |
ZSTAD: Zero-Shot Temporal Activity Detection |
Snehashis Majhi |
| 21 |
07/08/2020 |
Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos |
Di Yang |
| 20 |
31/07/2020 |
Hypernetwork approach to generating point clouds |
Maciej Zieba |
| 19 |
17/07/2020 |
Unsupervised feature learning, Multi-label Classification |
Hao Chen |
| 18 |
09/07/2020 |
Linformer: Self-Attention with Linear Complexity |
Srijan Das |
| 17 |
03/07/2020 |
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks |
Juan Diego |
| 16 |
11/06/2020 |
Efficient Video Classification Using Fewer Frames |
Di Yang |
| 15 |
04/06/2020 |
Pay Attention to Features, Transfer Learn Faster CNNs |
Ujjwal |
| 14 |
20/05/2020 |
Semantic Photo Manipulation with a Generative Image Prior |
Yaohui Wang |
| 13 |
11/05/2020 |
Derivative Manipulation for General Example Weighting |
David Anghelone |
| 12 |
01/05/2020 |
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition |
Di Yang |
| 11 |
17/04/2020 |
EfficientNet: Rethinking Model Scaling for Convolutional Neural Network |
Juan Diego |
| 10 |
10/04/2020 |
Adversarial Domain Adaptation with Domain Mixup |
Hao Chen |
| 9 |
27/03/2020 |
Label Efficient Learning of Transferable Representations across Domains and Tasks |
Jen-Cheng |
| 8 |
20/03/2020 |
Calibrating Deep Neural Networks using Focal Loss |
Ujjwal |
| 7 |
28/02/2020 |
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition [slides] |
Rui Dai |
| 6 |
21/02/2020 |
AutoGAN: Neural Architecture Search for Generative Adversarial Networks [slides] |
Yaohui Wang |
| 5 |
14/02/2020 |
An empirical evaluation of generic convolutional and recurrent networks for sequence modelling |
Renato Baptista |
| 4 |
31/01/2020 |
Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking [slides] |
Juan Diego |
| 3 |
24/01/2020 |
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain [slides] |
Hao Chen |
| 2 |
17/01/2020 |
Fully Convolutional Instance-aware Semantic Segmentation [slides] |
Ujjwal |
| 1 |
10/012020 |
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks [slides] |
Yaohui Wang |