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09/04/2023
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking
Chinese geographic re-ranking task aims to find the most relevant addres...
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09/01/2023
Point-Bind Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
We introduce Point-Bind, a 3D multi-modality model aligning point clouds...
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08/25/2023
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
Open intent detection, a crucial aspect of natural language understandin...
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05/12/2023
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention
The monocular depth estimation task has recently revealed encouraging pr...
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05/10/2023
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks
The most recent large language models such as ChatGPT and GPT-4 have gar...
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02/27/2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Masked Autoencoders (MAE) have shown promising performance in self-super...
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12/08/2022
Surround-view Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-insensitive Multi-task Framework
Surround-view fisheye perception under valet parking scenes is fundament...
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11/30/2022
Attention-based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection
Monocular 3D object detection is a low-cost but challenging task, as it ...
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11/24/2022
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion
Semantic scene completion (SSC) aims to complete a partial 3D scene and ...
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10/25/2022
Learning Better Intent Representations for Financial Open Intent Classification
With the recent surge of NLP technologies in the financial domain, banks...
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04/12/2022
Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation
Sign language recognition and translation first uses a recognition modul...
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03/05/2022
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking
Industrial bin picking is a challenging task that requires accurate and ...
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02/28/2022
Point Set Self-Embedding
This work presents an innovative method for point set self-embedding, th...
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08/10/2021
SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
We present SP-GAN, a new unsupervised sphere-guided generative model for...
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06/09/2021
Point Cloud Upsampling via Disentangled Refinement
Point clouds produced by 3D scanning are often sparse, non-uniform, and ...
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06/28/2020
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
This paper presents a deep normal filtering network, called DNF-Net, for...
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03/16/2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Recently, many deep neural networks were designed to process 3D point cl...
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03/14/2020
Non-Local Part-Aware Point Cloud Denoising
This paper presents a novel non-local part-aware deep neural network to ...
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02/25/2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
We present PointAugment, a new auto-augmentation framework that automati...
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08/29/2019
Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention
This paper presents a new approach to recognize elements in floor plan l...
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07/25/2019
PU-GAN: a Point Cloud Upsampling Adversarial Network
Point clouds acquired from range scans are often sparse, noisy, and non-...
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05/05/2019
Unsupervised Detection of Distinctive Regions on 3D Shapes
This paper presents a novel approach to learn and detect distinctive reg...
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07/16/2018
EC-Net: an Edge-aware Point set Consolidation Network
Point clouds obtained from 3D scans are typically sparse, irregular, and...
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01/21/2018