Articles
ICCAD’26 Top-TierIF 3
XDA: Representation-Aware Exponent-Direct Addressing for Efficient Shared Nonlinear Units
ICCAD’26 Top-TierIF 3
FlowTT: Exploiting Computation Flow Reuse in Irregular Tensor-Train Embedding
TVCG’26 SCI-Q1 IF 6.5
CC-4DGS: Computational Deformation and Point-Cloud Compression for Storage-Efficient Dynamic Gaussian Splatting
JETCAS’26 SCI-Q2 IF 3.8
A Coalesced Tensor Reduction Architecture for Scalable All-Bank PIM Execution
ACM MM’25 Top-Tier IF 4
See Through the Occlusions: Few-Shot Gaussian Splatting with Layered Amodal Supervision
CVPR’25 Top-Tier IF 4
LC-Mamba: Local and Continuous Mamba with Shifted Windows for Frame Interpolation
DAC’25 Top-Tier IF 3
Hybrid Embedding Framework for Memory-Efficient Recommendation Systems
TMM’24 SCI-Q1 IF 9.7
Adversarial Mixture Density Network and Uncertainty-based Joint Learning for 360° Monocular Depth Estimation
TCAS-II’24 SCI-Q1 IF 4.9
FIACCEL: Memory Efficient Frame Interpolation Accelerator for Full-HD Video
ICCV’23 Top-Tier IF 4
EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation
ACM MM’22 Top-Tier IF 4
Re-ordered Micro Image based High Efficient Residual Coding in Light Field Compression
CVPR’22 Top-Tier IF 4
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
AAAI’22 Top-Tier IF 4
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning
TCSVT’22 SCI-Q1 IF 11.1
Data Orchestration for Accelerating GPU-based Light Field Rendering Aiming at a Wide Virtual Space
JETCAS’22 SCI-Q2 IF 3.8
ADC-PIM: Accelerating Convolution on the GPU via In-Memory Approximate Data Comparison
TC’22 SCI-Q2 IF 3.8
A Lightweight and Efficient GPU for Near Data Processing Utilizing Data Access Pattern of Image Processing
TMM’20 SCI-Q1 IF 9.7
Flexibly Connectable Light Field System for Free View Exploration
TCSVT’20 SCI-Q1 IF 11.1
Fast Hardware-based IME with Idle Cycle and Computational Redundancy Reduction
TCSVT’18 SCI-Q1 IF 11.1
Fast Integer Motion Estimation with Bottom-up Motion Vector Prediction for an HEVC Encoder
TCSVT’17 SCI-Q1 IF 11.1
Complexity Reduction by Modified Scale-Space Construction in SIFT Generation Optimized for a Mobile GPU
TCSVT’16 SCI-Q1 IF 11.1
A Novel Hardware Architecture of the Lucas-Kanade Optical Flow for Reduced Frame Memory Access
TMM’16 SCI-Q1 IF 11.1
A Low-Power Video Recording System with Multiple Operation Modes for H.264 and Light-Weight Compression
TCSVT’16 SCI-Q1 IF 11.1
Merge Mode Estimation for a Hardware-based HEVC Encoder
TVLSI’15 SCI-Q2 IF 11.1
An Effective Combination of Power Scaling for H.264/AVC Compression
TMM’14 SCI-Q1 IF 9.7
An H.264 High-Profile Intra-Prediction with Adaptive Selection between the Parallel and Pipelined Executions of Prediction Modes
TCSVT’12 SCI-Q1 IF 11.1
Cascaded Direction Filtering for Fast Multi-Directional Inter-Prediction in H.264/AVC Main/High Profile Compression
TCSVT’10 SCI-Q1 IF 11.1
A Real-time H.264/AVC Encoder with Complexity-Aware Time Allocation
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