research
∙
07/03/2023
JourneyDB: A Benchmark for Generative Image Understanding
While recent advancements in vision-language models have revolutionized ...
share
research
∙
06/15/2023
Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models
Video Question Answering (VideoQA) has been significantly advanced from ...
research
∙
05/22/2023
VideoLLM: Modeling Video Sequence with Large Language Models
With the exponential growth of video data, there is an urgent need for a...
research
∙
05/04/2023
Personalize Segment Anything Model with One Shot
Driven by large-data pre-training, Segment Anything Model (SAM) has been...
research
∙
12/06/2022
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
The foundation models have recently shown excellent performance on a var...
research
∙
11/17/2022
InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges
In this report, we present our champion solutions to five tracks at Ego4...
research
∙
06/27/2022
ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning for Action Recognition
Capitalizing on large pre-trained models for various downstream tasks of...
research
∙
05/06/2022
EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers
Self-attention based models such as vision transformers (ViTs) have emer...
research
∙
06/16/2020
1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020
This technical report introduces our winning solution to the spatio-temp...
research
∙
06/14/2020
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization
Localizing persons and recognizing their actions from videos is a challe...
research
∙
03/11/2019
Video Generation from Single Semantic Label Map
This paper proposes the novel task of video generation conditioned on a ...
research
∙
03/03/2019
Unsupervised Bi-directional Flow-based Video Generation from one Snapshot
Imagining multiple consecutive frames given one single snapshot is chall...
research
∙
02/19/2018
Online Action Detection in Untrimmed, Streaming Videos - Modeling and Evaluation
The goal of Online Action Detection (OAD) is to detect action in a timel...
research
∙
01/04/2017
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
We introduce SalGAN, a deep convolutional neural network for visual sali...
research
∙
03/02/2016
Shallow and Deep Convolutional Networks for Saliency Prediction
The prediction of salient areas in images has been traditionally address...
research
∙
07/06/2015