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08/08/2023
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
False negatives (FN) in 3D object detection, e.g., missing predictions o...
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06/27/2023
Differentially Private Video Activity Recognition
In recent years, differential privacy has seen significant advancements ...
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08/08/2022
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators
Extreme weather amplified by climate change is causing increasingly deva...
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06/16/2022
Neural Scene Representation for Locomotion on Structured Terrain
We propose a learning-based method to reconstruct the local terrain for ...
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05/06/2022
Quantification of Robotic Surgeries with Vision-Based Deep Learning
Surgery is a high-stakes domain where surgeons must navigate critical an...
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02/22/2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
FourCastNet, short for Fourier Forecasting Neural Network, is a global d...
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10/27/2021
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions
We present an extended abstract for the previously published work TESSER...
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08/31/2021
Self-Calibrating Neural Radiance Fields
In this work, we propose a camera self-calibration algorithm for generic...
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05/31/2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Reinforcement Learning in large action spaces is a challenging problem. ...
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05/18/2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
In real-world multiagent systems, agents with different capabilities may...
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12/22/2020
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
Evolution in nature illustrates that the creatures' biological structure...
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11/16/2020
Fast Uncertainty Quantification for Deep Object Pose Estimation
Deep learning-based object pose estimators are often unreliable and over...
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11/05/2020
Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces
We refine the OrbNet model to accurately predict energy, forces, and oth...
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10/02/2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Humans have an inherent ability to learn novel concepts from only a few ...
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09/21/2020
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
We present a hierarchical framework that combines model-based control an...
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08/26/2020
Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery
Our previous work classified a taxonomy of suturing gestures during a ve...
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07/16/2020
Active Learning under Label Shift
Distribution shift poses a challenge for active data collection in the r...
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07/15/2020
OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features
We introduce a machine learning method in which energy solutions from th...
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07/01/2020
Causal Discovery in Physical Systems from Videos
Causal discovery is at the core of human cognition. It enables us to rea...
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02/21/2020
Convolutional Tensor-Train LSTM for Spatio-temporal Learning
Higher-order Recurrent Neural Networks (RNNs) are effective for long-ter...
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12/10/2019