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Low-Shot Visual Recognition by Shrinking and Hallucinating Features

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.3037-3046

2017

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Hypercolumns for object segmentation and fine-grained localization

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.447-456

2015

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Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.8437-8445

2019

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CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.1988-1997

2017

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Inferring and Executing Programs for Visual Reasoning

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.3008-3017

2017

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End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.5880-5889

2020

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Discriminative Decorrelation for Clustering and Classification

Computer Vision – ECCV 2012, p.459-472

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On the Efficacy of Knowledge Distillation

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.4793-4801

2019

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Few-Shot Learning With Localization in Realistic Settings

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.6551-6560

2019

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A Data Driven Approach for Algebraic Loop Invariants

Programming Languages and Systems, p.574-592

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Verification as Learning Geometric Concepts

Static Analysis, p.388-411

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Few-Shot Classification with Feature Map Reconstruction Networks

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.8008-8017

2021

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Few-Shot Generalization for Single-Image 3D Reconstruction via Priors

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.3817-3826

2019

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Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns

IEEE transactions on pattern analysis and machine intelligence, 2017-04, Vol.39 (4), p.627-639

2017

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PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.4540-4549

2019

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Low-Shot Learning from Imaginary Data

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.7278-7286

2018

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PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.16789-16799

2021

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Low-Shot Learning with Large-Scale Diffusion

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.3349-3358

2018

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Iterative Instance Segmentation

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.3659-3667

2016

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Coarsely-labeled Data for Better Few-shot Transfer

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.9032-9041

2021

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Learning Features by Watching Objects Move

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.6024-6033

2017

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Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.14340-14349

2020

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DeepBox: Learning Objectness with Convolutional Networks

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.2479-2487

2015

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Resource Aware Person Re-identification Across Multiple Resolutions

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.8042-8051

2018

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Simultaneous Detection and Segmentation

Computer Vision – ECCV 2014, p.297-312

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Low-Shot Visual Recognition by Shrinking and Hallucinating Features

Hypercolumns for object segmentation and fine-grained localization

Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Inferring and Executing Programs for Visual Reasoning

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

Discriminative Decorrelation for Clustering and Classification

On the Efficacy of Knowledge Distillation

Few-Shot Learning With Localization in Realistic Settings

A Data Driven Approach for Algebraic Loop Invariants

Verification as Learning Geometric Concepts

Few-Shot Classification with Feature Map Reconstruction Networks

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors

Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns

PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows

Low-Shot Learning from Imaginary Data

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering

Low-Shot Learning with Large-Scale Diffusion

Iterative Instance Segmentation

Coarsely-labeled Data for Better Few-shot Transfer

Learning Features by Watching Objects Move

Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition

DeepBox: Learning Objectness with Convolutional Networks

Resource Aware Person Re-identification Across Multiple Resolutions

Simultaneous Detection and Segmentation

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