152 citations · 256 across the 8 of their papers we have counts for
9 papers
Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models
Rui Qian, Yeqing Li, Zheng Xu +3
Utilizing vision and language models (VLMs) pre-trained on large-scale image-text pairs is becoming a promising paradigm for open-vocabulary visual recognition. In this work, we ex…
Exploring Temporal Granularity in Self-Supervised Video Representation Learning
Rui Qian, Yeqing Li, Liangzhe Yuan +7
This work presents a self-supervised learning framework named TeG to explore Temporal Granularity in learning video representations. In TeG, we sample a long clip from a video and…
Revisiting 3D ResNets for Video Recognition
Xianzhi Du, Yeqing Li, Yin Cui +3
A recent work from Bello shows that training and scaling strategies may be more significant than model architectures for visual recognition. This short note studies effective train…
High Resolution Medical Image Analysis with Spatial Partitioning
Le Hou, Youlong Cheng, Noam Shazeer +6
Medical images such as 3D computerized tomography (CT) scans and pathology images, have hundreds of millions or billions of voxels/pixels. It is infeasible to train CNN models dire…
Large Scale Scene Text Verification with Guided Attention
Dafang He, Yeqing Li, Alexander Gorban +5
Many tasks are related to determining if a particular text string exists in an image. In this work, we propose a new framework that learns this task in an end-to-end way. The frame…
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
Chunhui Gu, Chen Sun, David A. Ross +9
This paper introduces a video dataset of spatio-temporally localized Atomic Visual Actions (AVA). The AVA dataset densely annotates 80 atomic visual actions in 430 15-minute video…
Attention-based Extraction of Structured Information from Street View Imagery
Zbigniew Wojna, Alex Gorban, Dar-Shyang Lee +4
We present a neural network model - based on CNNs, RNNs and a novel attention mechanism - which achieves 84.2% accuracy on the challenging French Street Name Signs (FSNS) dataset,…
SIRF: Simultaneous Image Registration and Fusion in A Unified Framework
Chen Chen, Yeqing Li, Wei Liu +1
In this paper, we propose a novel method for image fusion with a high-resolution panchromatic image and a low-resolution multispectral image at the same geographical location. The…
Forest Sparsity for Multi-channel Compressive Sensing
Chen Chen, Yeqing Li, Junzhou Huang
In this paper, we investigate a new compressive sensing model for multi-channel sparse data where each channel can be represented as a hierarchical tree and different channels are…