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Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees

IEEE transactions on pattern analysis and machine intelligence, 2012-03, Vol.34 (3), p.533-547

2012

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STEP: Spatio-Temporal Progressive Learning for Video Action Detection

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.264-272

2019

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Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.998-1008

2019

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DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.3386-3396

2021

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Fashion Outfit Complementary Item Retrieval

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.3308-3316

2020

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Learning From Noisy Anchors for One-Stage Object Detection

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.10585-10594

2020

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An Analysis of Scale Invariance in Object Detection - SNIP

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.3578-3587

2018

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Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition

IEEE transactions on pattern analysis and machine intelligence, 2016-03, Vol.38 (3), p.518-531

2016

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Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition

IEEE transactions on pattern analysis and machine intelligence, 2013-11, Vol.35 (11), p.2651-2664

2013

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A unified tree-based framework for joint action localization, recognition and segmentation

Computer vision and image understanding, 2013-10, Vol.117 (10), p.1345-1355

2013

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Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.4148-4157

2018

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Truncated Cauchy Non-Negative Matrix Factorization

IEEE transactions on pattern analysis and machine intelligence, 2019-01, Vol.41 (1), p.246-259

2019

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Learning Rich Features for Image Manipulation Detection

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.1053-1061

2018

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Explicit Bias Discovery in Visual Question Answering Models

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.9554-9563

2019

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MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.1247-1257

2019

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Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching

IEEE transactions on pattern analysis and machine intelligence, 2010-04, Vol.32 (4), p.604-618

2010

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Exploiting local features from deep networks for image retrieval

2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2015, p.53-61

2015

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Multi-camera Tracking and Segmentation of Occluded People on Ground Plane Using Search-Guided Particle Filtering

Computer Vision – ECCV 2006, 2006, Vol.3953, p.98-109

2006

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Learning Temporal Regularity in Video Sequences

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.733-742

2016

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Density-Based Multifeature Background Subtraction with Support Vector Machine

IEEE transactions on pattern analysis and machine intelligence, 2012-05, Vol.34 (5), p.1017-1023

2012

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A Generic Improvement to Deep Residual Networks Based on Gradient Flow

IEEE transaction on neural networks and learning systems, 2020-07, Vol.31 (7), p.2490-2499

2020

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AdaFrame: Adaptive Frame Selection for Fast Video Recognition

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.1278-1287

2019

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BlockDrop: Dynamic Inference Paths in Residual Networks

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.8817-8826

2018

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A Dynamic Frame Selection Framework for Fast Video Recognition

IEEE transactions on pattern analysis and machine intelligence, 2022-04, Vol.44 (4), p.1699-1711

2022

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Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition

IEEE transactions on pattern analysis and machine intelligence, 2009-10, Vol.31 (10), p.1775-1789

2009

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Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees

STEP: Spatio-Temporal Progressive Learning for Video Action Detection

Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

Fashion Outfit Complementary Item Retrieval

Learning From Noisy Anchors for One-Stage Object Detection

An Analysis of Scale Invariance in Object Detection - SNIP

Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition

Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition

A unified tree-based framework for joint action localization, recognition and segmentation

Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

Truncated Cauchy Non-Negative Matrix Factorization

Learning Rich Features for Image Manipulation Detection

Explicit Bias Discovery in Visual Question Answering Models

MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment

Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching

Exploiting local features from deep networks for image retrieval

Multi-camera Tracking and Segmentation of Occluded People on Ground Plane Using Search-Guided Particle Filtering

Learning Temporal Regularity in Video Sequences

Density-Based Multifeature Background Subtraction with Support Vector Machine

A Generic Improvement to Deep Residual Networks Based on Gradient Flow

AdaFrame: Adaptive Frame Selection for Fast Video Recognition

BlockDrop: Dynamic Inference Paths in Residual Networks

A Dynamic Frame Selection Framework for Fast Video Recognition

Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition

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