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06/15/2023
Document Entity Retrieval with Massive and Noisy Pre-training
Visually-Rich Document Entity Retrieval (VDER) is a type of machine lear...
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01/14/2022
Argus++: Robust Real-time Activity Detection for Unconstrained Video Streams with Overlapping Cube Proposals
Activity detection is one of the attractive computer vision tasks to exp...
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02/19/2021
Pose Guided Person Image Generation with Hidden p-Norm Regression
In this paper, we propose a novel approach to solve the pose guided pers...
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10/31/2020
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation aims to train a model performing s...
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02/01/2020
Training-free Monocular 3D Event Detection System for Traffic Surveillance
We focus on the problem of detecting traffic events in a surveillance sc...
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01/04/2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) makes predictions for the target do...
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08/03/2018
Learning Distributional Representation and Set Distance for Multi-shot Person Re-identification
Person re-identification aims to identify a specific person at distinct ...
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04/24/2018
A Closer Look at Weak Label Learning for Audio Events
Audio content analysis in terms of sound events is an important research...
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12/18/2017
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
In real-world crowd counting applications, the crowd densities vary grea...
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07/25/2017
Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification
Learning the distance metric between pairs of examples is of great impor...
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07/05/2017
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification
We report on CMU Informedia Lab's system used in Google's YouTube 8 Mill...
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04/02/2017
Hidden Two-Stream Convolutional Networks for Action Recognition
Analyzing videos of human actions involves understanding the temporal re...
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02/08/2017
Guided Optical Flow Learning
We study the unsupervised learning of CNNs for optical flow estimation u...
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02/04/2017
Simple to Complex Cross-modal Learning to Rank
The heterogeneity-gap between different modalities brings a significant ...
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01/25/2017
Deep Local Video Feature for Action Recognition
We investigate the problem of representing an entire video using CNN fea...
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10/10/2016
Person Re-identification: Past, Present and Future
Person re-identification (re-ID) has become increasingly popular in the ...
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08/12/2016
Self-paced Learning for Weakly Supervised Evidence Discovery in Multimedia Event Search
Multimedia event detection has been receiving increasing attention in re...
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06/17/2016
Strategies for Searching Video Content with Text Queries or Video Examples
The large number of user-generated videos uploaded on to the Internet ev...
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04/25/2016
Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization
Multi-person tracking plays a critical role in the analysis of surveilla...
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01/14/2016
Dynamic Concept Composition for Zero-Example Event Detection
In this paper, we focus on automatically detecting events in unconstrain...
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12/11/2015
Improving Human Activity Recognition Through Ranking and Re-ranking
We propose two well-motivated ranking-based methods to enhance the perfo...
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10/15/2015
Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition
We address the problem of generating video features for action recogniti...
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02/13/2015
Long-short Term Motion Feature for Action Classification and Retrieval
We propose a method for representing motion information for video classi...
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11/24/2014
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition
Most state-of-the-art action feature extractors involve differential ope...
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11/14/2014
A Discriminative CNN Video Representation for Event Detection
In this paper, we propose a discriminative video representation for even...
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07/04/2012