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Design and Actuator Optimization of Lightweight and Compliant Knee Exoskeleton for Mobility Assistance of Children with Crouch Gait
Pediatric exoskeletons offer great promise to increase mobility for chil...
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Medical Robots for Infectious Diseases: Lessons and Challenges from the COVID-19 Pandemic
Medical robots can play an important role in mitigating the spread of in...
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Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation
For unpaired image-to-image translation tasks, GAN-based approaches are ...
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Compositionally Generalizable 3D Structure Prediction
Single-image 3D shape reconstruction is an important and long-standing p...
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An End-to-end Method for Producing Scanning-robust Stylized QR Codes
Quick Response (QR) code is one of the most worldwide used two-dimension...
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Rearrangement: A Challenge for Embodied AI
We describe a framework for research and evaluation in Embodied AI. Our ...
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Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
We study how to learn a policy with compositional generalizability. We p...
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Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Current graph neural networks (GNNs) lack generalizability with respect ...
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Photon-Driven Neural Path Guiding
Although Monte Carlo path tracing is a simple and effective algorithm to...
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Weakly-supervised 3D Shape Completion in the Wild
3D shape completion for real data is important but challenging, since pa...
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Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints
Estimating relative camera poses from consecutive frames is a fundamenta...
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Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images
This letter proposes a novel Balance Scene Learning Mechanism (BSLM) for...
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Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
We are interested in reconstructing the mesh representation of object su...
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Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks
In this paper, we examine the long-neglected yet important effects of po...
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Deep Photon Mapping
Recently, deep learning-based denoising approaches have led to dramatic ...
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Unpaired Photo-to-manga Translation Based on The Methodology of Manga Drawing
Manga is a world popular comic form originated in Japan, which typically...
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Quasi-Direct Drive Actuation for a Lightweight Hip Exoskeleton with High Backdrivability and High Bandwidth
High-performance actuators are crucial to enable mechanical versatility ...
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SAPIEN: A SimulAted Part-based Interactive ENvironment
Building home assistant robots has long been a pursuit for vision and ro...
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Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories
We address the problem of discovering 3D parts for objects in unseen cat...
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Regret Bounds for Discounted MDPs
Recently, it has been shown that carefully designed reinforcement learni...
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Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
We present Uncertainty-aware Cascaded Stereo Network (UCS-Net) for 3D re...
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StructEdit: Learning Structural Shape Variations
Learning to encode differences in the geometry and (topological) structu...
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Normal Assisted Stereo Depth Estimation
Accurate stereo depth estimation plays a critical role in various 3D tas...
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State Alignment-based Imitation Learning
Consider an imitation learning problem that the imitator and the expert ...
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Information-Theoretic Local Minima Characterization and Regularization
Recent advances in deep learning theory have evoked the study of general...
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S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
Grasping is among the most fundamental and long-lasting problems in robo...
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Multi-view PointNet for 3D Scene Understanding
Fusion of 2D images and 3D point clouds is important because information...
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Model Imitation for Model-Based Reinforcement Learning
Model-based reinforcement learning (MBRL) aims to learn a dynamic model ...
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Pre-training as Batch Meta Reinforcement Learning with tiMe
Pre-training is transformative in supervised learning: a large network t...
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Adversarial point perturbations on 3D objects
The importance of training robust neural network grows as 3D data is inc...
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Mapping State Space using Landmarks for Universal Goal Reaching
An agent that has well understood the environment should be able to appl...
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Point-Based Multi-View Stereo Network
We introduce Point-MVSNet, a novel point-based deep framework for multi-...
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StructureNet: Hierarchical Graph Networks for 3D Shape Generation
The ability to generate novel, diverse, and realistic 3D shapes along wi...
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Spine-Inspired Continuum Soft Exoskeleton for Stoop Lifting Assistance
Back injuries are the most prevalent work-related musculoskeletal disord...
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How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
Recently, reinforcement learning (RL) algorithms have demonstrated remar...
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A Soft High Force Hand Exoskeleton for Rehabilitation and Assistance of Spinal Cord Injury and Stroke Individuals
Individuals with spinal cord injury (SCI) and stroke who is lack of mani...
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Design and Control of a Quasi-Direct Drive Soft Hybrid Knee Exoskeleton for Injury Prevention during Squatting
This paper presents a new design approach of wearable robots that tackle...
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Comfort-Centered Design of a Lightweight and Backdrivable Knee Exoskeleton
This paper presents design principles for comfort-centered wearable robo...
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DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces
Reconstruction of geometry based on different input modes, such as image...
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Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers
3D object classification and segmentation using deep neural networks has...
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A Main/Subsidiary Network Framework for Simplifying Binary Neural Network
To reduce memory footprint and run-time latency, techniques such as neur...
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PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
We present PartNet: a consistent, large-scale dataset of 3D objects anno...
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Adversarial Defense by Stratified Convolutional Sparse Coding
We propose an adversarial defense method that achieves state-of-the-art ...
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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
Autonomous driving has attracted remarkable attention from both industry...
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Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA
Binarized Neural Network (BNN) removes bitwidth redundancy in classical ...
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Deep Part Induction from Articulated Object Pairs
Object functionality is often expressed through part articulation -- as ...
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Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Binary neural networks (BNN) have been studied extensively since they ru...
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Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions
Various 3D semantic attributes such as segmentation masks, geometric fea...
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View Extrapolation of Human Body from a Single Image
We study how to synthesize novel views of human body from a single image...
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Stylize Aesthetic QR Code
With the continued proliferation of smart mobile devices, Quick Response...
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