research
∙
07/31/2023
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Can we better anticipate an actor's future actions (e.g. mix eggs) by kn...
share
research
∙
07/13/2023
NLOS Dies Twice: Challenges and Solutions of V2X for Cooperative Perception
Multi-agent multi-lidar sensor fusion between connected vehicles for coo...
research
∙
06/20/2023
Dense Video Object Captioning from Disjoint Supervision
We propose a new task and model for dense video object captioning – dete...
research
∙
06/15/2023
Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
This technical report introduces the winning solution of the team \texti...
research
∙
04/24/2023
End-to-End Spatio-Temporal Action Localisation with Video Transformers
The most performant spatio-temporal action localisation models use exter...
research
∙
10/12/2022
Contrastive introspection (ConSpec) to rapidly identify invariant steps for success
Reinforcement learning (RL) algorithms have achieved notable success in ...
research
∙
01/31/2022
Trajectory Balance: Improved Credit Assignment in GFlowNets
Generative Flow Networks (GFlowNets) are a method for learning a stochas...
research
∙
08/22/2021
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets
Due to the stochasticity of human behaviors, predicting the future traje...
research
∙
06/30/2021
Attention Bottlenecks for Multimodal Fusion
Humans perceive the world by concurrently processing and fusing high-dim...
research
∙
03/29/2021
ViViT: A Video Vision Transformer
We present pure-transformer based models for video classification, drawi...
research
∙
05/20/2020
What makes for good views for contrastive learning
Contrastive learning between multiple views of the data has recently ach...
research
∙
06/13/2019
Contrastive Bidirectional Transformer for Temporal Representation Learning
This paper aims at learning representations for long sequences of contin...
research
∙
04/09/2019
Intra-Ensemble in Neural Networks
Improving model performance is always the key problem in machine learnin...
research
∙
04/03/2019
