b'Ziwei Wang'

research

∙ 05/05/2023

DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection

In this paper, we propose a new detection framework for 3D small object ...

0 Xiuwei Xu, et al. ∙

research

∙ 04/13/2023

Learning Accurate Performance Predictors for Ultrafast Automated Model Compression

In this paper, we propose an ultrafast automated model compression frame...

0 Ziwei Wang, et al. ∙

research

∙ 03/27/2023

Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis

In this paper, we propose binary sparse convolutional networks called BS...

0 Xiuwei Xu, et al. ∙

research

∙ 02/23/2023

Category-level Shape Estimation for Densely Cluttered Objects

Accurately estimating the shape of objects in dense clutters makes impor...

0 Zhenyu Wu, et al. ∙

research

∙ 12/21/2022

Do NFTs' Owners Really Possess their Assets? A First Look at the NFT-to-Asset Connection Fragility

NFTs (Non-Fungible Tokens) have experienced an explosive growth and thei...

0 Ziwei Wang, et al. ∙

research

∙ 11/17/2022

Planning Irregular Object Packing via Hierarchical Reinforcement Learning

Object packing by autonomous robots is an im-portant challenge in wareho...

0 Sichao Huang, et al. ∙

research

∙ 11/02/2022

Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder

Clouds play a critical role in the Earth's energy budget and their poten...

0 Takuya Kurihana, et al. ∙

research

∙ 10/31/2022

Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds

Object classification using LiDAR 3D point cloud data is critical for mo...

0 Ziwei Wang, et al. ∙

research

∙ 08/15/2022

InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee

After a survey for person-tracking system-induced privacy concerns, we p...

0 Yaxian Li, et al. ∙

research

∙ 08/07/2022

Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value

Explaining deep convolutional neural networks has been recently drawing ...

0 Quan Zheng, et al. ∙

research

∙ 08/06/2022

Smart Explorer: Recognizing Objects in Dense Clutter via Interactive Exploration

Recognizing objects in dense clutter accurately plays an important role ...

7 Zhenyu Wu, et al. ∙

research

∙ 08/02/2022

Smart Visual Beacons with Asynchronous Optical Communications using Event Cameras

Event cameras are bio-inspired dynamic vision sensors that respond to ch...

0 Ziwei Wang, et al. ∙

research

∙ 07/25/2022

GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter

Grasping in dense clutter is a fundamental skill for autonomous robots. ...

1 Zhan Liu, et al. ∙

research

∙ 06/24/2022

Multi-modal Sensor Data Fusion for In-situ Classification of Animal Behavior Using Accelerometry and GNSS Data

We examine using data from multiple sensing modes, i.e., accelerometry a...

9 Reza Arablouei, et al. ∙

research

∙ 06/20/2022

Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search

In this paper, we propose a Shapley value based method to evaluate opera...

0 Han Xiao, et al. ∙

research

∙ 05/17/2022

A Linear Comb Filter for Event Flicker Removal

Event cameras are bio-inspired sensors that capture per-pixel asynchrono...

0 Ziwei Wang, et al. ∙

research

∙ 10/11/2021

Stereo Hybrid Event-Frame (SHEF) Cameras for 3D Perception

Stereo camera systems play an important role in robotics applications to...

0 Ziwei Wang, et al. ∙

research

∙ 09/27/2021

Multiple-Pilot Collaboration for Advanced Remote Intervention using Reinforcement Learning

The traditional master-slave teleoperation relies on human expertise wit...

0 Ziwei Wang, et al. ∙

research

∙ 08/26/2021

Dual-arm Coordinated Manipulation for Object Twisting with Human Intelligence

Robotic dual-arm twisting is a common but very challenging task in both ...

0 Weibang Bai, et al. ∙

research

∙ 08/05/2021

Instance Similarity Learning for Unsupervised Feature Representation

In this paper, we propose an instance similarity learning (ISL) method f...

0 Ziwei Wang, et al. ∙

research

∙ 08/05/2021

Generalizable Mixed-Precision Quantization via Attribution Rank Preservation

In this paper, we propose a generalizable mixed-precision quantization (...

0 Ziwei Wang, et al. ∙

research

∙ 07/12/2021

Shared Control for Bimanual Telesurgery with Optimized Robotic Partner

Traditional telesurgery relies on the surgeon's full control of the robo...

0 Ziwei Wang, et al. ∙

research

∙ 06/28/2021

Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN

While state-of-the-art development in CNN topology, such as VGGNet and R...

0 Ziwei Wang, et al. ∙

research

∙ 02/23/2021

Enhanced Modality Transition for Image Captioning

Image captioning model is a cross-modality knowledge discovery task, whi...

0 Ziwei Wang, et al. ∙

research

∙ 12/17/2020

Event Camera Calibration of Per-pixel Biased Contrast Threshold

Event cameras output asynchronous events to represent intensity changes ...

0 Ziwei Wang, et al. ∙

research

∙ 12/10/2020

An Asynchronous Kalman Filter for Hybrid Event Cameras

We present an Asynchronous Kalman Filter (AKF) to reconstruct High Dynam...

0 Ziwei Wang, et al. ∙

research

∙ 06/15/2020

ORD: Object Relationship Discovery for Visual Dialogue Generation

With the rapid advancement of image captioning and visual question answe...

0 Ziwei Wang, et al. ∙

research

∙ 03/09/2020

BiDet: An Efficient Binarized Object Detector

In this paper, we propose a binarized neural network learning method cal...

0 Ziwei Wang, et al. ∙

research

∙ 11/12/2019

Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling

Meta-learning for few-shot learning allows a machine to leverage previou...

0 Yadan Luo, et al. ∙

research

∙ 04/05/2019

Snap and Find: Deep Discrete Cross-domain Garment Image Retrieval

With the increasing number of online stores, there is a pressing need fo...

0 Yadan Luo, et al. ∙

research

∙ 11/01/2018

Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration

Previous works utilized "smaller-norm-less-important" criterion to prune...

0 Yang He, et al. ∙

research

∙ 08/22/2018

Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning

Rich high-quality annotated data is critical for semantic segmentation l...

0 Yadan Luo, et al. ∙

Ziwei Wang

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