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05/25/2023
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting
Multivariate long-term time series forecasting is of great application a...
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03/16/2023
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving
3D scene understanding plays a vital role in vision-based autonomous dri...
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03/07/2023
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
Semantic occupancy perception is essential for autonomous driving, as au...
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12/21/2022
Strategic multi-task coordination over regular networks of robots with limited computation and communication capabilities
Coordination is a desirable feature in multi-agent systems, allowing the...
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10/23/2022
Fast Beam Alignment via Pure Exploration in Multi-armed Bandits
The beam alignment (BA) problem consists in accurately aligning the tran...
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08/06/2022
Smart Explorer: Recognizing Objects in Dense Clutter via Interactive Exploration
Recognizing objects in dense clutter accurately plays an important role ...
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04/07/2022
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation
Depth estimation from images serves as the fundamental step of 3D percep...
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03/28/2022
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
In this paper, we propose the LiDAR Distillation to bridge the domain ga...
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01/19/2022
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo
In this paper, we introduce a deep multi-view stereo (MVS) system that j...
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12/27/2021
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement
Cross-Lingual Information Retrieval (CLIR) aims to rank the documents wr...
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09/02/2021
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
In this work, we present a new multi-view depth estimation method that u...
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08/17/2021
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection
3D point cloud understanding has made great progress in recent years. Ho...
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05/17/2021
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
In this paper, we investigate the problem of weakly supervised 3D vehicl...
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03/01/2021
DST: Data Selection and joint Training for Learning with Noisy Labels
Training a deep neural network heavily relies on a large amount of train...
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02/12/2021
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
A bipartite network is a graph structure where nodes are from two distin...
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01/22/2021
Network Clustering for Multi-task Learning
The Multi-Task Learning (MTL) technique has been widely studied by word-...
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01/09/2021
Channel Estimation for IRS-aided Multiuser Communications with Reduced Error Propagation
Intelligent reflecting surface (IRS) has emerged as a promising paradigm...
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12/18/2020
SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation
Most existing point cloud instance and semantic segmentation methods hea...
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12/02/2020
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
In this paper, we propose Point-Voxel Recurrent All-Pairs Field Transfor...
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06/11/2020
A PDD Decoder for Binary Linear Codes With Neural Check Polytope Projection
Linear Programming (LP) is an important decoding technique for binary li...
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05/20/2020
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
In this paper, we address the text and image matching in cross-modal ret...
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05/14/2020
Deep Hierarchical Classification for Category Prediction in E-commerce System
In e-commerce system, category prediction is to automatically predict ca...
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04/01/2020
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
Network embedding aims to learn low-dimensional representations of nodes...
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02/14/2020
ADMM-based Decoder for Binary Linear Codes Aided by Deep Learning
Inspired by the recent advances in deep learning (DL), this work present...
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06/10/2019
Learned Conjugate Gradient Descent Network for Massive MIMO Detection
In this work, we consider the use of model-driven deep learning techniqu...
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04/14/2019
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction
In this paper, we present a new perspective towards image-based shape ge...
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06/19/2018
A Novel Mobile Data Contract Design with Time Flexibility
In conventional mobile data plans, the unused data will be cleared at th...
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05/06/2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection
In this paper, we propose a simple and general framework for training ve...
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04/26/2018
Two-Stream Binocular Network: Accurate Near Field Finger Detection Based On Binocular Images
Fingertip detection plays an important role in human computer interactio...
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03/20/2018