2025
X-LRM: X-ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One Second.
CoRR, March, 2025
2024
LucidFusion: Generating 3D Gaussians with Arbitrary Unposed Images.
CoRR, 2024
Contactless Polysomnography: What Radio Waves Tell Us about Sleep.
CoRR, 2024
2023
CP-NeRF: Conditionally Parameterized Neural Radiance Fields for Cross-scene Novel View Synthesis.
Comput. Graph. Forum, October, 2023
Rethinking Rendering in Generalizable Neural Surface Reconstruction: A Learning-based Solution.
CoRR, 2023
Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets.
CoRR, 2023
Addressing Feature Suppression in Unsupervised Visual Representations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Contactless Oxygen Monitoring with Radio Waves and Gated Transformer.
Proceedings of the Machine Learning for Healthcare Conference, 2023
Taxonomy-Structured Domain Adaptation.
Proceedings of the International Conference on Machine Learning, 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
CornerRadar: RF-Based Indoor Localization Around Corners.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
Contactless Oxygen Monitoring with Gated Transformer.
CoRR, 2022
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct).
CoRR, 2022
Domain Adaptation with Factorizable Joint Shift.
CoRR, 2022
Controlling Directions Orthogonal to a Classifier.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Graph-Relational Domain Adaptation.
Proceedings of the Tenth International Conference on Learning Representations, 2022
CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2020
Information-Preserving Contrastive Learning for Self-Supervised Representations.
CoRR, 2020
UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Continuously Indexed Domain Adaptation.
Proceedings of the 37th International Conference on Machine Learning, 2020
Learning Compositional Koopman Operators for Model-Based Control.
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Circuit-GNN: Graph Neural Networks for Distributed Circuit Design.
Proceedings of the 36th International Conference on Machine Learning, 2019
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees.
Proceedings of the 7th International Conference on Learning Representations, 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Exposure: A White-Box Photo Post-Processing Framework.
ACM Trans. Graph., 2018
Extracting Multi-Person Respiration from Entangled RF Signals.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
RF-Based Fall Monitoring Using Convolutional Neural Networks.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
2017
From Bayesian Sparsity to Gated Recurrent Nets.
CoRR, 2017
From Bayesian Sparsity to Gated Recurrent Nets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017