NeurIPS 2023: OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
ICCV 2023: FIPT: Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
CVPR 2023: PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
ICLR 2022: Transformer-based Transform Coding
ICIP 2021: Progressive Neural Image Compression with Nested Quantization and Latent Ordering
IEEE Open Journal of Signal Processing: Transform network architectures for deep learning based end-to-end image/video coding in subsampled color spaces
JCP 2019: Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
CVPR 2019: A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
WRR 2018: Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media
JCP 2018: Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification
ACC 2016: Performance guaranteed human-robot collaboration through correct-by-design