2025
Federated Learning Based on Model Discrepancy and Variance Reduction.
IEEE Trans. Neural Networks Learn. Syst., June, 2025
Task-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression.
IEEE Trans. Circuits Syst. Video Technol., May, 2025
End-to-End Optimized Image Compression With Deep Gaussian Process Regression.
IEEE Trans. Circuits Syst. Video Technol., April, 2025
Latent Weight Quantization for Integerized Training of Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2025
HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation.
CoRR, March, 2025
Stabilizing and Accelerating Federated Learning on Heterogeneous Data With Partial Client Participation.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025
Generalized Quantum State Tomography With Hybrid Denoising Priors.
IEEE Trans. Signal Process., 2025
MENSA: Multi-Dataset Harmonized Pretraining for Semantic Segmentation.
IEEE Trans. Multim., 2025
On Disentangled Training for Nonlinear Transform in Learned Image Compression.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
360Spred: Saliency Prediction for 360-Degree Videos Based on 3D Separable Graph Convolutional Networks.
IEEE Trans. Circuits Syst. Video Technol., October, 2024
Source-Free Domain Adaptation With Domain Generalized Pretraining for Face Anti-Spoofing.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024
A Unified Framework for Jointly Compressing Visual and Semantic Data.
ACM Trans. Multim. Comput. Commun. Appl., July, 2024
Scene Graph Lossless Compression with Adaptive Prediction for Objects and Relations.
ACM Trans. Multim. Comput. Commun. Appl., July, 2024
Revisiting Learned Image Compression With Statistical Measurement of Latent Representations.
IEEE Trans. Circuits Syst. Video Technol., April, 2024
3-D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024
Variance Reduced Domain Randomization for Reinforcement Learning With Policy Gradient.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
On Centralization and Unitization of Batch Normalization for Deep ReLU Neural Networks.
IEEE Trans. Signal Process., 2024
SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention.
IEEE Trans. Multim., 2024
Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation With Heterogeneous QoE Preferences.
IEEE Trans. Multim., 2024
LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors.
CoRR, 2024
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks.
CoRR, 2024
Point Cloud Resampling with Learnable Heat Diffusion.
CoRR, 2024
Research on Reliability Allocation Method for Traction Power Supply System of Electrified Railways in Mountainous Areas.
IEEE Access, 2024
Deep Reinforcement Learning-Based Camera Autofocus with Gaussian Process Regression.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024
MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Task-Oriented Multi-Bitstream Optimization for Image Compression and Transmission via Optimal Transport.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Point Cloud Upsampling with Geometric Algebra Driven Inverse Heat Dissipation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Frequency-Aware Transformer for Learned Image Compression.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
DCCM: Dual Data Consistency Guided Consistency Model for Inverse Problems.
Proceedings of the IEEE International Conference on Image Processing, 2024
Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-spoofing.
Proceedings of the Computer Vision - ECCV 2024, 2024
BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression.
Proceedings of the Computer Vision - ECCV 2024, 2024
UMG-CLIP: A Unified Multi-granularity Vision Generalist for Open-World Understanding.
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Proceedings of the Computer Vision - ECCV 2024, 2024
Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation.
Proceedings of the Computer Vision - ECCV 2024, 2024
DomainFusion: Generalizing to Unseen Domains with Latent Diffusion Models.
Proceedings of the Computer Vision - ECCV 2024, 2024
Cascade-Zero123: One Image to Highly Consistent 3D with Self-prompted Nearby Views.
Proceedings of the Computer Vision - ECCV 2024, 2024
Adversarially Robust Neural Lyapunov Control.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Initialization Seeds Facilitating Neural Network Quantization.
Proceedings of the Data Compression Conference, 2024
Entropy Relaxed Lattice Vector Quantization for Learned Image Compression.
Proceedings of the Data Compression Conference, 2024
2023
BNET: Batch Normalization With Enhanced Linear Transformation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
Learned Progressive Image Compression With Dead-Zone Quantizers.
IEEE Trans. Circuits Syst. Video Technol., June, 2023
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Anisotropic Spherical Scattering Networks via Directional Spin Wavelet.
IEEE Trans. Signal Process., 2023
Tackling Over-Smoothing in Graph Convolutional Networks With EM-Based Joint Topology Optimization and Node Classification.
IEEE Trans. Signal Inf. Process. over Networks, 2023
Light Field Compression With Graph Learning and Dictionary-Guided Sparse Coding.
IEEE Trans. Multim., 2023
QoE-Driven Adaptive Streaming for Point Clouds.
IEEE Trans. Multim., 2023
Automatic Representative Frame Selection and Intrathoracic Lymph Node Diagnosis With Endobronchial Ultrasound Elastography Videos.
IEEE J. Biomed. Health Informatics, 2023
Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification.
CoRR, 2023
scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data.
CoRR, 2023
Scene Graph Lossless Compression with Adaptive Prediction for Objects and Relations.
CoRR, 2023
Learned Lossless Compression for JPEG via Frequency-Domain Prediction.
CoRR, 2023
Learned Progressive Image Compression With Spatial Autoregression.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023
Robust Point Cloud Classification With Permutohedral Lattice-based Representation.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023
AiluRus: A Scalable ViT Framework for Dense Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Doubly Robust Augmented Transfer for Meta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization.
Proceedings of the International Conference on Machine Learning, 2023
ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Point Cloud Upsampling with Dynamic Graph Scattering Transform.
Proceedings of the IEEE International Conference on Image Processing, 2023
Towards Unsupervised Domain Generalization for Face Anti-Spoofing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Learning Causal Representations for Generalizable Face Anti Spoofing.
Proceedings of the IEEE International Conference on Acoustics, 2023
Mixed-precision Deep Neural Network Quantization With Multiple Compression Rates.
Proceedings of the Data Compression Conference, 2023
Fully Integerized End-to-End Learned Image Compression.
Proceedings of the Data Compression Conference, 2023
Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
On the Convergence of Non-Convex Phase Retrieval With Denoising Priors.
IEEE Trans. Signal Process., 2022
Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets.
IEEE Trans. Signal Inf. Process. over Networks, 2022
iPool - Information-Based Pooling in Hierarchical Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022
General Bitwidth Assignment for Efficient Deep Convolutional Neural Network Quantization.
IEEE Trans. Neural Networks Learn. Syst., 2022
VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers.
IEEE Trans. Knowl. Data Eng., 2022
RAPT360: Reinforcement Learning-Based Rate Adaptation for 360-Degree Video Streaming With Adaptive Prediction and Tiling.
IEEE Trans. Circuits Syst. Video Technol., 2022
Hierarchical Spherical CNNs with Lifting-based Adaptive Wavelets for Pooling and Unpooling.
CoRR, 2022
LiftPool: Lifting-based Graph Pooling for Hierarchical Graph Representation Learning.
CoRR, 2022
Weakly Supervised Region-Level Contrastive Learning for Efficient Object Detection.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022
Optimal Tile-Based Encoding for 360-Degree Video Streaming.
Proceedings of the Picture Coding Symposium, 2022
Tensor Network-Based Entropy Coding For Learned Image Compression.
Proceedings of the Picture Coding Symposium, 2022
Improving Generalization for Neural Adaptive Video Streaming via Meta Reinforcement Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Efficient Search for Efficient Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Improving Optical Flow Inference for Video Colorization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Mixed-Precision Quantization of U-Net for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Causal Intervention for Generalizable Face Anti-Spoofing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Bag of Instances Aggregation Boosts Self-supervised Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022
A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining.
Proceedings of the Computer Vision - ECCV 2022, 2022
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-spoofing.
Proceedings of the Computer Vision - ECCV 2022, 2022
SdAE: Self-distillated Masked Autoencoder.
Proceedings of the Computer Vision - ECCV 2022, 2022
Efficient Decoder for Learned Image Compression via Structured Pruning.
Proceedings of the Data Compression Conference, 2022
Graph Dictionary Learning for 3-D Point Cloud Compression.
Proceedings of the Data Compression Conference, 2022
Video Compression via Inter-frame Chroma Prediction.
Proceedings of the Data Compression Conference, 2022
Entropy Modeling via Gaussian Process Regression for Learned Image Compression.
Proceedings of the Data Compression Conference, 2022
Contrastive Regression for Domain Adaptation on Gaze Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Adaptive Task Sampling and Variance Reduction for Gradient-Based Meta-Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Reversible Autoencoder: A CNN-Based Nonlinear Lifting Scheme for Image Reconstruction.
IEEE Trans. Signal Process., 2021
Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame.
IEEE Trans. Signal Inf. Process. over Networks, 2021
Multiscale Representation Learning of Graph Data With Node Affinity.
IEEE Trans. Signal Inf. Process. over Networks, 2021
Multi-Scale Structured Dictionary Learning for 3-D Point Cloud Attribute Compression.
IEEE Trans. Circuits Syst. Video Technol., 2021
Partially-Connected Neural Architecture Search for Reduced Computational Redundancy.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Spectral Graph Convolutional Networks With Lifting-based Adaptive Graph Wavelets.
CoRR, 2021
Bag of Instances Aggregation Boosts Self-supervised Learning.
CoRR, 2021
Message Passing in Graph Convolution Networks via Adaptive Filter Banks.
CoRR, 2021
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation.
CoRR, 2021
Mixed-precision Quantization with Dynamical Hessian Matrix for Object Detection Network.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021
Uncertainty-aware robust adaptive video streaming with bayesian neural network and model predictive control.
Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2021
Research on Intelligent station layout optimization of air defense radar network.
Proceedings of the ICRSA 2021: 4th International Conference on Robot Systems and Applications, Chengdu, China, April 9, 2021
Monotonic Robust Policy Optimization with Model Discrepancy.
Proceedings of the 38th International Conference on Machine Learning, 2021
Learned Image Compression with Channel-Wise Grouped Context Modeling.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Research on Intelligent Assignment Method of Radar Jamming Task in Electronic Air Defense Operation.
Proceedings of the ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence, Tianjin China, April 23, 2021
QoE-Driven and Tile-Based Adaptive Streaming for Point Clouds.
Proceedings of the IEEE International Conference on Acoustics, 2021
Compressive Sensing via Unfolded 𝓁<sub>1</sub>-constrained Convolutional Sparse Coding.
Proceedings of the 31st Data Compression Conference, 2021
Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging.
Proceedings of the 31st Data Compression Conference, 2021
Hierarchical Graph Networks for 3D Human Pose Estimation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Iterative Deep Neural Network Quantization With Lipschitz Constraint.
IEEE Trans. Multim., 2020
Depth Estimation From Light Field Using Graph-Based Structure-Aware Analysis.
IEEE Trans. Circuits Syst. Video Technol., 2020
Scalable Structured Compressive Video Sampling With Hierarchical Subspace Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020
Adaptive lossless compression of skeleton sequences.
Signal Process. Image Commun., 2020
Key-Point Sequence Lossless Compression for Intelligent Video Analysis.
IEEE Multim., 2020
NCGNN: Node-level Capsule Graph Neural Network.
CoRR, 2020
MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization.
CoRR, 2020
Graph Pooling with Node Proximity for Hierarchical Representation Learning.
CoRR, 2020
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.
CoRR, 2020
Spatial-Channel Context-Based Entropy Modeling for End-to-end Optimized Image Compression.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020
SalGCN: Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
DSCR-Net: A Diffractive Sensing and Complex-Valued Reconstruction Network for Compressive Sensing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
FedExg: Federated Learning with Model Exchange.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Structure-Aware Graph Construction For Point Cloud Segmentation With Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation.
Proceedings of the IEEE International Conference on Image Processing, 2020
REV-AE: A Learned Frame Set for Image Reconstruction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding.
Proceedings of the Data Compression Conference, 2020
Rotation Equivariant Graph Convolutional Network for Spherical Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Trained Rank Pruning for Efficient Deep Neural Networks.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019
Lossy Image Compression with Filter Bank Based Convolutional Networks.
Proceedings of the Data Compression Conference, 2019
MSGCNN: Multi-scale Graph Convolutional Neural Network for Point Cloud Segmentation.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019
2018
Fully Decomposable Compressive Sampling With Joint Optimization for Multidimensional Sparse Representation.
IEEE Trans. Signal Process., 2018
Compressed Sensing via a Deep Convolutional Auto-encoder.
Proceedings of the IEEE Visual Communications and Image Processing, 2018
2017
Structured Sparse Representation With Union of Data-Driven Linear and Multilinear Subspaces Model for Compressive Video Sampling.
IEEE Trans. Signal Process., 2017
Progressive Dictionary Learning With Hierarchical Predictive Structure for Low Bit-Rate Scalable Video Coding.
IEEE Trans. Image Process., 2017
Multiscale dictionary learning for hierarchical sparse representation.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017
Extended conjugate polar fourier transforminconvolution network.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Nonconvex Optimization with Alternating Direction Method of Multipliers for Tensor-Based Compressed Sensing with Group Sparsity.
Proceedings of the 2017 Data Compression Conference, 2017
Complementary Contextual Models with FM-Index for DNA Compression.
Proceedings of the 2017 Data Compression Conference, 2017
2016
Sparse Representation With Spatio-Temporal Online Dictionary Learning for Promising Video Coding.
IEEE Trans. Image Process., 2016
Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE).
BMC Medical Informatics Decis. Mak., 2016
HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS.
Bioinform., 2016
Compressive Tensor Sampling with Structured Sparsity.
Proceedings of the 2016 Data Compression Conference, 2016
2015
FORESEE: Fully Outsourced secuRe gEnome Study basEd on homomorphic Encryption.
BMC Medical Informatics Decis. Mak., December, 2015
Generalized Context Modeling With Multi-Directional Structuring and MDL-Based Model Selection for Heterogeneous Data Compression.
IEEE Trans. Signal Process., 2015
Progressive Dictionary Learning with Hierarchical Structure for Scalable Video Coding.
Proceedings of the 2015 Data Compression Conference, 2015
Adaptive Submodular Dictionary Selection for Sparse Representation Modeling with Application to Image Super-Resolution.
Proceedings of the 2015 Data Compression Conference, 2015
Subspace Learning with Structured Sparsity for Compressive Video Sampling.
Proceedings of the 2015 Data Compression Conference, 2015
Bi-Directional Context Modeling with Combinatorial Structuring for Genome Sequence Compression.
Proceedings of the 2015 Data Compression Conference, 2015
2014
Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding.
IEEE Trans. Image Process., 2014
Gaussian Process Regression Based Prediction for Lossless Image Coding.
Proceedings of the Data Compression Conference, 2014
Regional context model and dynamic Huffman binarization for adaptive entropy coding of multimedia.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014
2013
Structured Set Intra Prediction With Discriminative Learning in a Max-Margin Markov Network for High Efficiency Video Coding.
IEEE Trans. Circuits Syst. Video Technol., 2013
Genome Sequence Compression with Distributed Source Coding.
Proceedings of the 2013 Data Compression Conference, 2013
An Adaptive Difference Distribution-Based Coding with Hierarchical Tree Structure for DNA Sequence Compression.
Proceedings of the 2013 Data Compression Conference, 2013
2012
Optimal intra coding of HEVC by structured set prediction mode with discriminative learning.
Proceedings of the 2012 Visual Communications and Image Processing, 2012
Discriminative structured set prediction modeling with max-margin Markov network for optimal lossless image coding.
Proceedings of the 2012 Visual Communications and Image Processing, 2012
2011
Bitwise Structured Prediction Model for Lossless Image Coding.
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011
2008
On Non-sequential Context Modeling with Application to Executable Data Compression.
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008
2000
User Oriented Integration of Sensor Operations in a Offline Programming System for Welding Robots.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000