Yurong Chen

Orcid: 0000-0001-9333-1746

Affiliations:
  • Intel Labs China, Beijing, China


According to our database1, Yurong Chen authored at least 67 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2023
ECT: Fine-grained Edge Detection with Learned Cause Tokens.
CoRR, 2023

From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition.
Proceedings of the International Conference on Machine Learning, 2023

CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
OANet: Learning Two-View Correspondences and Geometry Using Order-Aware Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Efficient Meta-Tuning for Content-Aware Neural Video Delivery.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Deep Likelihood Network for Image Restoration With Multiple Degradation Levels.
IEEE Trans. Image Process., 2021

On Connections Between Regularizations for Improving DNN Robustness.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Transferable End-to-end Room Layout Estimation via Implicit Encoding.
CoRR, 2021

Dynamic Normalization and Relay for Video Action Recognition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Object Detection from Scratch with Deep Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Editorial: Special Issue on Compact Deep Neural Networks With Industrial Applications.
IEEE J. Sel. Top. Signal Process., 2020

Learning to Draw Sight Lines.
Int. J. Comput. Vis., 2020

Pointly-supervised scene parsing with uncertainty mixture.
Comput. Vis. Image Underst., 2020

AccSS3D: Accelerator for Spatially Sparse 3D DNNs.
CoRR, 2020

LID 2020: The Learning from Imperfect Data Challenge Results.
CoRR, 2020

CASNet: Common Attribute Support Network for image instance and panoptic segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Explicit Residual Descent for 3D Human Pose Estimation from 2D Joint Locations.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks.
Int. J. Comput. Vis., 2019

Deep Likelihood Network for Image Restoration with Multiple Degradations.
CoRR, 2019

Learning Two-View Correspondences and Geometry Using Order-Aware Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Closed-Form Solution to Universal Style Transfer.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Exemplar-Based Portrait Style Transfer.
IEEE Access, 2018

Sparse DNNs with Improved Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient Semantic Scene Completion Network with Spatial Group Convolution.
Proceedings of the Computer Vision - ECCV 2018, 2018

Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Visual Knowledge Memory Networks for Visual Question Answering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Network Decoupling: From Regular to Depthwise Separable Convolutions.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization.
CoRR, 2017

Learning supervised scoring ensemble for emotion recognition in the wild.
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017

Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights.
Proceedings of the 5th International Conference on Learning Representations, 2017

DSOD: Learning Deeply Supervised Object Detectors from Scratch.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Decoder Network over Lightweight Reconstructed Feature for Fast Semantic Style Transfer.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Weakly Supervised Dense Video Captioning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

RON: Reverse Connection with Objectness Prior Networks for Object Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Network Sketching: Exploiting Binary Structure in Deep CNNs.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A Bayesian Hashing approach and its application to face recognition.
Neurocomputing, 2016

Dynamic Network Surgery for Efficient DNNs.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

HoloNet: towards robust emotion recognition in the wild.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Regional Gating Neural Networks for Multi-label Image Classification.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Deep Attributes from Context-Aware Regional Neural Codes.
CoRR, 2015

LFRTrainer: Large-Scale Face Recognition Training System.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Optimal Bayesian Hashing for Efficient Face Recognition.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Capturing AU-Aware Facial Features and Their Latent Relations for Emotion Recognition in the Wild.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

2014
Large-scale Supervised Hierarchical Feature Learning for Face Recognition.
CoRR, 2014

2012
Accelerating 2D-to-3D Video Conversion on Multi-core Systems.
Proceedings of the Applied Parallel and Scientific Computing, 2012

2010
Accelerating Mutual-Information-Based Registration on multi-core systems.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

A general texture mapping framework for image-based 3D modeling.
Proceedings of the International Conference on Image Processing, 2010

Bundled depth-map merging for multi-view stereo.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Parallelization and optimization of a CBVIR system on multi-core architectures.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

2008
Accelerating Video-Mining Applications Using Many Small, General-Purpose Cores.
IEEE Micro, 2008

SIFT implementation and optimization for multi-core systems.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Parallelization and characterization of SIFT on multi-core systems.
Proceedings of the 4th International Symposium on Workload Characterization (IISWC 2008), 2008

Parallelization and Characterization of Probabilistic Latent Semantic Analysis.
Proceedings of the 2008 International Conference on Parallel Processing, 2008

Parallelization of spectral clustering algorithm on multi-core processors and GPGPU.
Proceedings of the 13th Asia-Pacific Computer Systems Architecture Conference, 2008

2007

Understanding the Memory Performance of Data-Mining Workloads on Small, Medium, and Large-Scale CMPs Using Hardware-Software Co-simulation.
Proceedings of the 2007 IEEE International Symposium on Performance Analysis of Systems and Software, 2007

Parallel Audio Quick Search on Shared-Memory Multiprocessor Systems.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Parallelization and Performance Analysis of Video Feature Extractions on Multi-Core Based Systems.
Proceedings of the 2007 International Conference on Parallel Processing (ICPP 2007), 2007

2006
Performance Analysis of Two Parallel Game-Tree Search Applications.
Proceedings of the Applied Parallel Computing. State of the Art in Scientific Computing, 2006

Parallelization and performance characterization of protein 3D structure prediction of Rosetta.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

Parallelization of module network structure learning and performance tuning on SMP.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

Parallel Information Extraction on Shared Memory Multi-processor System.
Proceedings of the 2006 International Conference on Parallel Processing (ICPP 2006), 2006

2005
Improving branch prediction accuracy with parallel conservative correctors.
Proceedings of the Second Conference on Computing Frontiers, 2005


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