Latest

• [J31] An FPGA-Based Energy-Efficient Real-Time Hand Pose Estimation System with an Integrated Image Signal Processor for Indirect 3D Time-of-Flight Sensors
• [C66] HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation
• [C61] HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
• [C49] Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation
• [C48] HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network
• [C43] Dynamic Inference Acceleration of 3D Point Cloud Deep Neural Networks Using Point Density and Entropy
• [C39] Element-wise Partial Product Quantization for Efficient Deep Learning Accelerators
• [C36] Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation
• [C31] HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
• [J10] Segmentation of Points in the Future: Joint Segmentation and Prediction of a Point Cloud