341 citations · 392 across the 10 of their papers we have counts for
10 papers
Physics-informed Neural-operator Predictive Control for Drag Reduction in Turbulent Flows
Zelin Zhao, Zongyi Li, Kimia Hassibi +5
Assessing turbulence control effects for wall friction numerically is a significant challenge since it requires expensive simulations of turbulent fluid dynamics. We instead propos…
Grounding and Enhancing Grid-based Models for Neural Fields
Zelin Zhao, Fenglei Fan, Wenlong Liao +1
Many contemporary studies utilize grid-based models for neural field representation, but a systematic analysis of grid-based models is still missing, hindering the improvement of t…
Tracking Objects as Pixel-wise Distributions
Zelin Zhao, Ze Wu, Yueqing Zhuang +2
Multi-object tracking (MOT) requires detecting and associating objects through frames. Unlike tracking via detected bounding boxes or tracking objects as points, we propose trackin…
End-to-end View Synthesis via NeRF Attention
Zelin Zhao, Jiaya Jia
In this paper, we present a simple seq2seq formulation for view synthesis where we take a set of ray points as input and output colors corresponding to the rays. Directly applying…
Learning Temporal Rules from Noisy Timeseries Data
Karan Samel, Zelin Zhao, Binghong Chen +4
Events across a timeline are a common data representation, seen in different temporal modalities. Individual atomic events can occur in a certain temporal ordering to compose highe…
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao, Karan Samel, Binghong Chen +1
Programs, consisting of semantic and structural information, play an important role in the communication between humans and agents. Towards learning general program executors to un…
How to Design Sample and Computationally Efficient VQA Models
Karan Samel, Zelin Zhao, Binghong Chen +3
In multi-modal reasoning tasks, such as visual question answering (VQA), there have been many modeling and training paradigms tested. Previous models propose different methods for…
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
Zelin Zhao, Chuang Gan, Jiajun Wu +2
Humans can abstract prior knowledge from very little data and use it to boost skill learning. In this paper, we propose routine-augmented policy learning (RAPL), which discovers ro…
Estimating 6D Pose From Localizing Designated Surface Keypoints
Zelin Zhao, Gao Peng, Haoyu Wang +3
In this paper, we present an accurate yet effective solution for 6D pose estimation from an RGB image. The core of our approach is that we first designate a set of surface points o…
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
Mingyang Jiang, Yiran Wu, Tianqi Zhao +2
Recently, 3D understanding research sheds light on extracting features from point cloud directly, which requires effective shape pattern description of point clouds. Inspired by th…