research
∙
08/29/2023
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation
Until recently, the Video Instance Segmentation (VIS) community operated...
share
research
∙
04/12/2023
SiLK – Simple Learned Keypoints
Keypoint detection descriptors are foundational tech-nologies for co...
research
∙
02/16/2023
MINOTAUR: Multi-task Video Grounding From Multimodal Queries
Video understanding tasks take many forms, from action detection to visu...
research
∙
01/09/2023
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
Visual object tracking is a key component to many egocentric vision prob...
research
∙
04/12/2022
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity
Open-world instance segmentation is the task of grouping pixels into obj...
research
∙
04/01/2022
Generic Event Boundary Captioning: A Benchmark for Status Changes Understanding
Cognitive science has shown that humans perceive videos in terms of even...
research
∙
11/18/2021
PyTorchVideo: A Deep Learning Library for Video Understanding
We introduce PyTorchVideo, an open-source deep-learning library that pro...
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
∙
04/10/2021
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
Current state-of-the-art object detection and segmentation methods work ...
research
∙
01/26/2021
Generic Event Boundary Detection: A Benchmark for Event Segmentation
This paper presents a novel task together with a new benchmark for detec...
research
∙
11/22/2020
FP-NAS: Fast Probabilistic Neural Architecture Search
Differential Neural Architecture Search (NAS) requires all layer choices...
research
∙
03/15/2020
SF-Net: Single-Frame Supervision for Temporal Action Localization
In this paper, we study an intermediate form of supervision, i.e., singl...
research
∙
01/09/2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Existing models often leverage co-occurrences between objects and their ...
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
∙
06/10/2019
FASTER Recurrent Networks for Video Classification
Video classification methods often divide the video into short clips, do...
research
∙
06/07/2019
Video Modeling with Correlation Networks
Motion is a salient cue to recognize actions in video. Modern action rec...
research
∙
05/29/2019
What Makes Training Multi-Modal Networks Hard?
Consider end-to-end training of a multi-modal vs. a single-modal network...
research
∙
05/02/2019
Large-scale weakly-supervised pre-training for video action recognition
Current fully-supervised video datasets consist of only a few hundred th...
research
∙
04/04/2019
Video Classification with Channel-Separated Convolutional Networks
Group convolution has been shown to offer great computational savings in...
research
∙
05/25/2017