b'Yu Xiang'

research

∙ 08/19/2023

Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels

We consider the problem of lower bounding the error probability under th...

0 Austin Goddard, et al. ∙

research

∙ 07/19/2023

Communication-Efficient Distribution-Free Inference Over Networks

Consider a star network where each local node possesses a set of distrib...

0 Mehrdad Pournaderi, et al. ∙

research

∙ 07/15/2023

Identifying Direct Causes using Intervened Target Variable

Identifying the direct causes or causal parents of a target variable is ...

0 Kang Du, et al. ∙

research

∙ 07/06/2023

Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning

We propose a novel framework for few-shot learning by leveraging large-s...

0 Jishnu Jaykumar P, et al. ∙

research

∙ 06/27/2023

SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Reproducible Scenes

We present a new reproducible benchmark for evaluating robot manipulatio...

0 Ninad Khargonkar, et al. ∙

research

∙ 06/14/2023

Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures

As a hot topic in recent years, the ability of pedestrians identificatio...

0 Haoming Li, et al. ∙

research

∙ 05/10/2023

Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences

Learning causal structure among event types from discrete-time event seq...

0 Jie Qiao, et al. ∙

research

∙ 02/07/2023

Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction

We introduce a novel robotic system for improving unseen object instance...

0 Yangxiao Lu, et al. ∙

research

∙ 02/01/2023

Deep Dependency Networks for Multi-Label Classification

We propose a simple approach which combines the strengths of probabilist...

0 Shivvrat Arya, et al. ∙

research

∙ 01/14/2023

Generalized Invariant Matching Property via LASSO

Learning under distribution shifts is a challenging task. One principled...

0 Kang Du, et al. ∙

research

∙ 12/21/2022

SLGTformer: An Attention-Based Approach to Sign Language Recognition

Sign language is the preferred method of communication of deaf or mute p...

0 Neil Song, et al. ∙

research

∙ 11/29/2022

On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach

This work concerns developing communication- and computation-efficient m...

0 Mehrdad Pournaderi, et al. ∙

research

∙ 11/21/2022

Mean Shift Mask Transformer for Unseen Object Instance Segmentation

Segmenting unseen objects is a critical task in many different domains. ...

0 Yangxiao Lu, et al. ∙

research

∙ 10/05/2022

Sample-and-Forward: Communication-Efficient Control of the False Discovery Rate in Networks

This work concerns controlling the false discovery rate (FDR) in network...

0 Mehrdad Pournaderi, et al. ∙

research

∙ 08/22/2022

Learning Invariant Representations under General Interventions on the Response

It has become increasingly common nowadays to collect observations of fe...

0 Kang Du, et al. ∙

research

∙ 07/30/2022

Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network

3D reconstruction of novel categories based on few-shot learning is appe...

0 Zhen Xing, et al. ∙

research

∙ 07/06/2022

NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands

We introduce a neural implicit representation for grasps of objects from...

7 Ninad Khargonkar, et al. ∙

research

∙ 07/06/2022

FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments

We introduce the Few-Shot Object Learning (FewSOL) dataset for object re...

0 Jishnu Jaykumar P, et al. ∙

research

∙ 06/29/2022

Lower Bounds on the Error Probability for Invariant Causal Prediction

It is common practice to collect observations of feature and response pa...

0 Austin Goddard, et al. ∙

research

∙ 06/23/2022

A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method

Geometrical shape of airfoils, together with the corresponding flight co...

12 Yu Xiang, et al. ∙

research

∙ 05/19/2022

HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers

We introduce a new simulation benchmark "HandoverSim" for human-to-robot...

17 Yu-Wei Chao, et al. ∙

research

∙ 05/18/2022

An Invariant Matching Property for Distribution Generalization under Intervened Response

The task of distribution generalization concerns making reliable predict...

0 Kang Du, et al. ∙

research

∙ 03/23/2022

A Multi-Characteristic Learning Method with Micro-Doppler Signatures for Pedestrian Identification

The identification of pedestrians using radar micro-Doppler signatures h...

0 Yu Xiang, et al. ∙

research

∙ 03/06/2022

Variable Selection with the Knockoffs: Composite Null Hypotheses

The Fixed-X knockoff filter is a flexible framework for variable selecti...

0 Mehrdad Pournaderi, et al. ∙

research

∙ 01/31/2022

Communication-Efficient Distributed Multiple Testing for Large-Scale Inference

The Benjamini-Hochberg (BH) procedure is a celebrated method for multipl...

0 Mehrdad Pournaderi, et al. ∙

research

∙ 12/31/2021

iCaps: Iterative Category-level Object Pose and Shape Estimation

This paper proposes a category-level 6D object pose and shape estimation...

5 Xinke Deng, et al. ∙

research

∙ 11/30/2021

TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information

Deep neural networks based object detectors have shown great success in ...

0 Suraj Kothawade, et al. ∙

research

∙ 09/12/2021

Differentially Private Variable Selection via the Knockoff Filter

The knockoff filter, recently developed by Barber and Candes, is an effe...

0 Mehrdad Pournaderi, et al. ∙

research

∙ 08/31/2021

A Subsampling-Based Method for Causal Discovery on Discrete Data

Inferring causal directions on discrete and categorical data is an impor...

0 Austin Goddard, et al. ∙

research

∙ 07/04/2021

Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans

6D grasping in cluttered scenes is a longstanding robotic manipulation p...

0 Lirui Wang, et al. ∙

research

∙ 06/29/2021

RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks

Segmenting unseen object instances in cluttered environments is an impor...

9 Christopher Xie, et al. ∙

research

∙ 04/09/2021

DexYCB: A Benchmark for Capturing Hand Grasping of Objects

We introduce DexYCB, a new dataset for capturing hand grasping of object...

5 Yu-Wei Chao, et al. ∙

research

∙ 04/01/2021

RGB-D Local Implicit Function for Depth Completion of Transparent Objects

Majority of the perception methods in robotics require depth information...

25 Luyang Zhu, et al. ∙

research

∙ 02/19/2021

Learning Composable Behavior Embeddings for Long-horizon Visual Navigation

Learning high-level navigation behaviors has important implications: it ...

0 Xiangyun Meng, et al. ∙

research

∙ 12/23/2020

Causal Inference Using Linear Time-Varying Filters with Additive Noise

Causal inference using the restricted structural causal model framework ...

0 Kang Du, et al. ∙

research

∙ 10/15/2020

Aerodynamic Data Predictions Based on Multi-task Learning

The quality of datasets is one of the key factors that affect the accura...

0 Liwei Hu, et al. ∙

research

∙ 10/02/2020

Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds

6D robotic grasping beyond top-down bin-picking scenarios is a challengi...

9 Lirui Wang, et al. ∙

research

∙ 09/13/2020

Information Laundering for Model Privacy

In this work, we propose information laundering, a novel framework for e...

12 Xinran Wang, et al. ∙

research

∙ 07/30/2020

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

Segmenting unseen objects in cluttered scenes is an important skill that...

12 Yu Xiang, et al. ∙

research

∙ 07/16/2020

Unseen Object Instance Segmentation for Robotic Environments

In order to function in unstructured environments, robots need the abili...

21 Christopher Xie, et al. ∙

research

∙ 12/01/2019

LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation

Current 6D object pose estimation methods usually require a 3D model for...

35 Keunhong Park, et al. ∙

research

∙ 11/22/2019

Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection

In robot manipulation, planning the motion of a robot manipulator to gra...

0 Lirui Wang, et al. ∙

research

∙ 09/26/2019

Scaling Local Control to Large-Scale Topological Navigation

Visual topological navigation has been revitalized recently thanks to th...

0 Xiangyun Meng, et al. ∙

research

∙ 09/23/2019

Self-supervised 6D Object Pose Estimation for Robot Manipulation

To teach robots skills, it is crucial to obtain data with supervision. S...

0 Xinke Deng, et al. ∙

research

∙ 07/30/2019

The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation

In order to function in unstructured environments, robots need the abili...

4 Christopher Xie, et al. ∙

research

∙ 05/22/2019

PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking

Tracking 6D poses of objects from videos provides rich information to a ...

8 Xinke Deng, et al. ∙

research

∙ 04/03/2019

Neural Autonomous Navigation with Riemannian Motion Policy

End-to-end learning for autonomous navigation has received substantial a...

0 Xiangyun Meng, et al. ∙

research

∙ 12/06/2018

Object Discovery in Videos as Foreground Motion Clustering

We consider the problem of providing dense segmentation masks for object...

0 Christopher Xie, et al. ∙

research

∙ 09/27/2018

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

Using synthetic data for training deep neural networks for robotic manip...

0 Jonathan Tremblay, et al. ∙

research

∙ 06/30/2018

FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems

Traffic for internet video streaming has been rapidly increasing and is ...

0 Abubakr Alabbasi, et al. ∙

Yu Xiang

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