b'Qiang Wang'

research

∙ 09/03/2023

FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

The rapid growth of memory and computation requirements of large languag...

0 Zhenheng Tang, et al. ∙

research

∙ 08/25/2023

Residual Denoising Diffusion Models

Current diffusion-based image restoration methods feed degraded input im...

0 Jiawei Liu, et al. ∙

research

∙ 08/15/2023

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World

Experimentation on real robots is demanding in terms of time and costs. ...

0 Nico Gürtler, et al. ∙

research

∙ 08/09/2023

Seeing in Flowing: Adapting CLIP for Action Recognition with Motion Prompts Learning

The Contrastive Language-Image Pre-training (CLIP) has recently shown re...

0 Qiang Wang, et al. ∙

research

∙ 08/07/2023

Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface

This paper proposes a technique for efficiently modeling dynamic humans ...

0 Ruiqi Zhang, et al. ∙

research

∙ 07/08/2023

Robust Learning-Based Incipient Slip Detection using the PapillArray Optical Tactile Sensor for Improved Robotic Gripping

The ability to detect slip, particularly incipient slip, enables robotic...

0 Qiang Wang, et al. ∙

research

∙ 06/30/2023

Improving the Transferability of Time Series Forecasting with Decomposition Adaptation

Due to effective pattern mining and feature representation, neural forec...

0 Yan Gao, et al. ∙

research

∙ 06/09/2023

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses

3D multi-object tracking (MOT) is vital for many applications including ...

0 Xuesong Chen, et al. ∙

research

∙ 06/08/2023

FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow

This paper introduces a novel transformer-based network architecture, Fl...

0 Zhaoyang Huang, et al. ∙

research

∙ 05/30/2023

DiffSketching: Sketch Control Image Synthesis with Diffusion Models

Creative sketch is a universal way of visual expression, but translating...

0 Qiang Wang, et al. ∙

research

∙ 05/26/2023

Spatio-Temporal Transformer-Based Reinforcement Learning for Robot Crowd Navigation

The social robot navigation is an open and challenging problem. In exist...

0 Haodong He, et al. ∙

research

∙ 03/20/2023

Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning

Neural machine translation (NMT) has achieved remarkable success in prod...

0 Rongxiang Weng, et al. ∙

research

∙ 03/16/2023

SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning

Value-decomposition methods, which reduce the difficulty of a multi-agen...

0 Shuhan Qi, et al. ∙

research

∙ 01/30/2023

Winning Solution of Real Robot Challenge III

This report introduces our winning solution of the real-robot phase of t...

0 Qiang Wang, et al. ∙

research

∙ 01/27/2023

Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning

This paper studies the problem of learning a control policy without the ...

0 Qiang Wang, et al. ∙

research

∙ 01/10/2023

Simulation-based Validation for Autonomous Driving Systems

Simulation is essential to validate autonomous driving systems. However,...

0 Changwen Li, et al. ∙

research

∙ 12/03/2022

The RoyalFlush System for the WMT 2022 Efficiency Task

This paper describes the submission of the RoyalFlush neural machine tra...

0 Bo Qin, et al. ∙

research

∙ 11/30/2022

Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity

Existing learning-based multi-view stereo (MVS) methods rely on the dept...

0 Qingsong Yan, et al. ∙

research

∙ 10/19/2022

Hybrid-Regressive Neural Machine Translation

In this work, we empirically confirm that non-autoregressive translation...

0 Qiang Wang, et al. ∙

research

∙ 10/03/2022

Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations

End-to-end reinforcement learning techniques are among the most successf...

0 Francisco Roldan Sanchez, et al. ∙

research

∙ 09/19/2022

Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation

K-Nearest Neighbor Neural Machine Translation (kNN-MT) successfully inco...

11 Qiang Wang, et al. ∙

research

∙ 08/29/2022

SphereDepth: Panorama Depth Estimation from Spherical Domain

The panorama image can simultaneously demonstrate complete information o...

6 Qingsong Yan, et al. ∙

research

∙ 08/09/2022

Adaptive Target-Condition Neural Network: DNN-Aided Load Balancing for Hybrid LiFi and WiFi Networks

Load balancing (LB) is a challenging issue in the hybrid light fidelity ...

7 Han Ji, et al. ∙

research

∙ 07/20/2022

An Efficient Framework for Few-shot Skeleton-based Temporal Action Segmentation

Temporal action segmentation (TAS) aims to classify and locate actions i...

0 Leiyang Xu, et al. ∙

research

∙ 07/20/2022

EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching

Recent advanced studies have spent considerable human efforts on optimiz...

0 Qiang Wang, et al. ∙

research

∙ 07/16/2022

Automatic dataset generation for specific object detection

In the past decade, object detection tasks are defined mostly by large p...

0 Xiaotian Lin, et al. ∙

research

∙ 07/05/2022

SiamMask: A Framework for Fast Online Object Tracking and Segmentation

In this paper we introduce SiamMask, a framework to perform both visual ...

9 Weiming Hu, et al. ∙

research

∙ 06/30/2022

Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition

Human action recognition is a quite hugely investigated area where most ...

0 Lin Yuan, et al. ∙

research

∙ 06/26/2022

fETSmcs: Feature-based ETS model component selection

The well-developed ETS (ExponenTial Smoothing or Error, Trend, Seasonali...

2 Lingzhi Qi, et al. ∙

research

∙ 05/19/2022

Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks

This paper describes a deep reinforcement learning (DRL) approach that w...

5 Qiang Wang, et al. ∙

research

∙ 03/30/2022

FlowFormer: A Transformer Architecture for Optical Flow

We introduce Optical Flow TransFormer (FlowFormer), a transformer-based ...

0 Zhaoyang Huang, et al. ∙

research

∙ 03/29/2022

Learning a Structured Latent Space for Unsupervised Point Cloud Completion

Unsupervised point cloud completion aims at estimating the corresponding...

0 Yingjie Cai, et al. ∙

research

∙ 03/14/2022

RCL: Recurrent Continuous Localization for Temporal Action Detection

Temporal representation is the cornerstone of modern action detection te...

0 Qiang Wang, et al. ∙

research

∙ 03/14/2022

Disentangled Representation Learning for Text-Video Retrieval

Cross-modality interaction is a critical component in Text-Video Retriev...

0 Qiang Wang, et al. ∙

research

∙ 02/15/2022

Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H E-Stained Histology Images

Autofluorescence lifetime images reveal unique characteristics of endoge...

9 Qiang Wang, et al. ∙

research

∙ 12/13/2021

Further improvement on index bounds

In this paper we obtain further improvement of index bounds for characte...

0 Yansheng Wu, et al. ∙

research

∙ 10/27/2021

2nd Place Solution for VisDA 2021 Challenge – Universally Domain Adaptive Image Recognition

The Visual Domain Adaptation (VisDA) 2021 Challenge calls for unsupervis...

0 Haojin Liao, et al. ∙

research

∙ 10/06/2021

FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks

Deep neural networks (DNNs) have achieved great success in the area of c...

9 Qiang Wang, et al. ∙

research

∙ 09/28/2021

Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles

Providing safety guarantees for Autonomous Vehicle (AV) systems with mac...

0 Shengduo Chen, et al. ∙

research

∙ 09/03/2021

Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision

General Continual Learning (GCL) aims at learning from non independent a...

0 Zhong Ji, et al. ∙

research

∙ 06/17/2021

Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering

Image-based geometric modeling and novel view synthesis based on sparse,...

4 Wenpeng Xing, et al. ∙

research

∙ 04/29/2021

A comparative study of neural network techniques for automatic software vulnerability detection

Software vulnerabilities are usually caused by design flaws or implement...

10 Gaigai Tang, et al. ∙

research

∙ 04/08/2021

Multiple Object Tracking with Correlation Learning

Recent works have shown that convolutional networks have substantially i...

0 Qiang Wang, et al. ∙

research

∙ 04/01/2021

Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters

Energy conservation of large data centers for high-performance computing...

0 Xinxin Mei, et al. ∙

research

∙ 03/29/2021

A hybrid controller for safe and efficient collision avoidance control

We design and experimentally evaluate a hybrid safe-by-construction coll...

0 Qiang Wang, et al. ∙

research

∙ 02/26/2021

Accurate Visual-Inertial SLAM by Feature Re-identification

We propose a novel feature re-identification method for real-time visual...

0 Xiongfeng Peng, et al. ∙

research

∙ 02/09/2021

Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce

Nowadays, live-stream and short video shopping in E-commerce have grown ...

0 Yanhao Zhang, et al. ∙

research

∙ 01/21/2021

Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking

Unmanned Aerial Vehicle (UAV) offers lots of applications in both commer...

8 Nan Jiang, et al. ∙

research

∙ 11/03/2020

Layer-Wise Multi-View Learning for Neural Machine Translation

Traditional neural machine translation is limited to the topmost encoder...

0 Qiang Wang, et al. ∙

research

∙ 10/16/2020

Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation

The standard neural machine translation model can only decode with the s...

0 Qiang Wang, et al. ∙

Qiang Wang

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