Jianchao Yang
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Jianchao Yangengineering Degrees
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Jianchao Yangcomputer-science Degrees
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Engineering Computer Science
Jianchao Yang's Degrees
- Bachelors Electrical Engineering Tsinghua University
Why Is Jianchao Yang Influential?
(Suggest an Edit or Addition)Jianchao Yang's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Image Super-Resolution Via Sparse Representation (2010) (4584)
- Locality-constrained Linear Coding for image classification (2010) (3356)
- Linear spatial pyramid matching using sparse coding for image classification (2009) (3051)
- Image super-resolution as sparse representation of raw image patches (2008) (1578)
- Coupled Dictionary Training for Image Super-Resolution (2012) (769)
- Deep Networks for Image Super-Resolution with Sparse Prior (2015) (696)
- EnlightenGAN: Deep Light Enhancement Without Paired Supervision (2019) (589)
- Learning With $\ell ^{1}$-Graph for Image Analysis (2010) (577)
- Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing (2014) (503)
- Learning from Noisy Labels with Distillation (2017) (448)
- Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks (2015) (439)
- Fine-grained recognition without part annotations (2015) (415)
- Supervised translation-invariant sparse coding (2010) (357)
- RAPID: Rating Pictorial Aesthetics using Deep Learning (2014) (332)
- Slimmable Neural Networks (2018) (328)
- Fast Image Super-Resolution Based on In-Place Example Regression (2013) (316)
- Wide Activation for Efficient and Accurate Image Super-Resolution (2018) (291)
- YouTube-VOS: Sequence-to-Sequence Video Object Segmentation (2018) (279)
- YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark (2018) (277)
- Efficient Video Object Segmentation via Network Modulation (2018) (275)
- Text Localization in Natural Images Using Stroke Feature Transform and Text Covariance Descriptors (2013) (268)
- Deep Human Parsing with Active Template Regression (2015) (231)
- Probabilistic Elastic Matching for Pose Variant Face Verification (2013) (228)
- Proposal-Free Network for Instance-Level Object Segmentation (2015) (221)
- Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark (2016) (216)
- Human Parsing with Contextualized Convolutional Neural Network (2015) (213)
- Close the loop: Joint blind image restoration and recognition with sparse representation prior (2011) (183)
- Rating Image Aesthetics Using Deep Learning (2015) (173)
- Robust Single Image Super-Resolution via Deep Networks With Sparse Prior (2016) (171)
- Matching-CNN meets KNN: Quasi-parametric human parsing (2015) (160)
- Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution (2016) (139)
- Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia (2016) (136)
- Exemplar-Based Face Parsing (2013) (131)
- Dense Captioning with Joint Inference and Visual Context (2016) (125)
- Non-Local Kernel Regression for Image and Video Restoration (2010) (119)
- Efficient Highly Over-Complete Sparse Coding Using a Mixture Model (2010) (118)
- Action Recognition With Spatio–Temporal Visual Attention on Skeleton Image Sequences (2018) (115)
- Face hallucination VIA sparse coding (2008) (109)
- Towards Unified Human Parsing and Pose Estimation (2014) (99)
- DeepFont: Identify Your Font from An Image (2015) (97)
- GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training (2013) (96)
- Non-negative graph embedding (2008) (94)
- Bilevel sparse coding for coupled feature spaces (2012) (93)
- Learning Super-Resolution Jointly From External and Internal Examples (2015) (86)
- Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation (2013) (85)
- Robust Single Image Super-Resolution via Deep Networks With Sparse Prior. (2016) (85)
- Sparse representation based blind image deblurring (2011) (78)
- AtomNAS: Fine-Grained End-to-End Neural Architecture Search (2019) (77)
- Image and Video Restorations via Nonlocal Kernel Regression (2013) (75)
- Self-tuned deep super resolution (2015) (72)
- Joint Visual-Textual Sentiment Analysis with Deep Neural Networks (2015) (71)
- Image Super-Resolution: Historical Overview and Future Challenges (2017) (68)
- 1 Image super-resolution : Historical overview and future challenges (2010) (48)
- A Max-Margin Perspective on Sparse Representation-Based Classification (2013) (47)
- Learning the sparse representation for classification (2011) (46)
- Multi-view Facial Expression Recognition Analysis with Generic Sparse Coding Feature (2012) (45)
- ℓ ^0 ℓ 0 -Sparse Subspace Clustering (2016) (40)
- Surveillance Event Detection (2008) (39)
- Deeply Improved Sparse Coding for Image Super-Resolution (2015) (38)
- Data Clustering by Laplacian Regularized L1-Graph (2014) (38)
- Large-Scale Visual Font Recognition (2014) (35)
- Intra-frame deblurring by leveraging inter-frame camera motion (2015) (31)
- Sparse Coding and its Applications in Computer Vision (2015) (28)
- Supervised super-vector encoding for facial expression recognition (2014) (28)
- Key Point Detection by Max Pooling for Tracking (2015) (28)
- Couple Dictionary Training for Image Super-resolution (2012) (27)
- Maximum margin GMM learning for facial expression recognition (2013) (27)
- Robust emotion recognition from low quality and low bit rate video: A deep learning approach (2017) (26)
- Photo Stream Alignment and Summarization for Collaborative Photo Collection and Sharing (2012) (25)
- Selective Pooling Vector for Fine-Grained Recognition (2015) (23)
- Ubiquitously Supervised Subspace Learning (2009) (20)
- A Hybrid Neural Network for Chroma Intra Prediction (2018) (20)
- Local patch encoding-based method for single image super-resolution (2017) (19)
- Collaborative feature learning from social media (2015) (19)
- Regularized l1-Graph for Data Clustering (2014) (18)
- Non-local compressive sampling recovery (2014) (18)
- Human Motion Transfer from Poses in the Wild (2020) (17)
- Learning to Segment Human by Watching YouTube (2017) (17)
- Pooling Robust Shift-Invariant Sparse Representations of Acoustic Signals (2012) (15)
- Online Multi-Granularity Distillation for GAN Compression (2021) (15)
- Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing (2016) (14)
- Action Recognition with Visual Attention on Skeleton Images (2018) (14)
- Image-Specific Prior Adaptation for Denoising (2015) (13)
- Scale Adaptive Blind Deblurring (2014) (12)
- Photo stream alignment for collaborative photo collection and sharing in social media (2011) (12)
- MATCHING PERSPECTIVE VIEWS OF A 3-D OBJECT USING CIRCUITS. (1984) (9)
- A joint perspective towards image super-resolution: Unifying external- and self-examples (2014) (9)
- Customized expression recognition for performance-driven cutout character animation (2016) (8)
- Dressing in the Wild by Watching Dance Videos (2022) (7)
- Real-World Font Recognition Using Deep Network and Domain Adaptation (2015) (7)
- DeepFont: A System for Font Recognition and Similarity (2015) (7)
- Neural Epitome Search for Architecture-Agnostic Network Compression (2019) (7)
- EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch (2018) (7)
- WSNet: Compact and Efficient Networks Through Weight Sampling (2018) (7)
- Multi-scale Non-Local Kernel Regression for super resolution (2011) (6)
- Subspace Learning by $$\ell ^{0}$$ℓ0-Induced Sparsity (2018) (5)
- Epitomic image colorization (2014) (5)
- Deep Learning for Font Recognition and Retrieval (2018) (4)
- On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation (2017) (4)
- Designing a composite dictionary adaptively from joint examples (2015) (4)
- Local Patch Classification Based Framework for Single Image Super-Resolution (2017) (4)
- Factorized Adversarial Networks for Unsupervised Domain Adaptation (2018) (3)
- Subcategory-Aware Object Detection (2015) (3)
- WSNet: Compact and Efficient Networks with Weight Sampling (2017) (2)
- Scalable Similarity Learning Using Large Margin Neighborhood Embedding (2014) (2)
- Deep Model Compression via Filter Auto-sampling (2019) (2)
- Fine-Grained Recognition without Part Annotations : Supplementary Material (2015) (2)
- Learning $\ell^{0}$-Graph for Data Clustering. (2015) (1)
- Sparse modeling of high-dimensional data for learning and vision (2011) (1)
- Opportunistic sensing for object recognition — A unified formulation for dynamic sensor selection and feature extraction (2013) (1)
- Learning 3D-FilterMap for Deep Convolutional Neural Networks (2018) (1)
- Decomposition-Based Domain Adaptation for Real-World Font Recognition (2014) (1)
- Learning $3$D-FilterMap for Deep Convolutional Neural Networks (2018) (1)
- Support Regularized Sparse Coding and Its Fast Encoder (2017) (1)
- PARSE C ODING AND I TS F AST E NCODER (2017) (0)
- WSNet: Learning Compact and Efficient Networks with Weight Sampling (2018) (0)
- Learning ℓ0-Graph for Data Clustering (2015) (0)
- 2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016, Lake Placid, NY, USA, March 7-10, 2016 (2016) (0)
- FC FC Squared Loss on image-level labels + + + + + 0 Segmenta ti on Goundtruth Global Image-level Context Image (2016) (0)
- Subspace Learning by ℓ0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ell ^{0}$$\end{document}-Induced Sparsity (2018) (0)
- Learning with $\ell^{0}$-Graph: $\ell^{0}$-Induced Sparse Subspace Clustering (2015) (0)
- Neighborhood Regularized l^1-Graph (2017) (0)
- N EURAL E PITOME S EARCH FOR A RCHITECTURE-A GNOSTIC N ETWORK C OMPRESSION (2020) (0)
- NEURAL NETWORK FOR OBJECT DETECTION IN IMAGES (2018) (0)
- Theories of Sparse Coding (2015) (0)
- One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning (2021) (0)
- Weight tensor : θ Input : F Output : G Input : F Output : G Weight tensor : θ τ ( E ) Convolution Convolution Compression (2020) (0)
- Learning with ℓ1-Graph for High Dimensional Data Analysis (2013) (0)
- Hyper-Spectral Image Modeling (2015) (0)
- L G ] 5 J an 2 01 8 Learning 3 D-FilterMap for Deep Convolutional Neural Networks (2018) (0)
- CEJS Mid-Year Report: Identifying snow leopards based on their individual spot pattern (2016) (0)
- 3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks (2018) (0)
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