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09/20/2023
TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models
Coarse architectural models are often generated at scales ranging from i...
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07/16/2023
EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes
Visual Emotion Analysis (VEA) aims at predicting people's emotional resp...
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06/27/2023
TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection
Thanks to recent advancements in end-to-end speech modeling technology, ...
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06/12/2023
Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition
The imbalanced distribution of long-tailed data poses a challenge for de...
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05/18/2023
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
It is not uncommon that real-world data are distributed with a long tail...
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05/04/2023
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation
We present the UrbanBIS benchmark for large-scale 3D urban understanding...
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04/26/2023
Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System
Large-scale Language Models (LLMs) are constrained by their inability to...
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03/31/2023
Semi-Weakly Supervised Object Kinematic Motion Prediction
Given a 3D object, kinematic motion prediction aims to identify the mobi...
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03/23/2023
Retrieval-Augmented Classification with Decoupled Representation
Pretrained language models (PLMs) have shown marvelous improvements acro...
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03/20/2023
Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models
Pretrained language models (PLMs) have shown marvelous improvements acro...
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12/23/2022
Consensus-Based Optimization for Saddle Point Problems
In this paper, we propose consensus-based optimization for saddle point ...
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10/12/2022
Improved Data Augmentation for Translation Suggestion
Translation suggestion (TS) models are used to automatically provide alt...
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09/15/2022
Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation
Since the preparation of labeled data for training semantic segmentation...
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05/12/2022
Order-Degree-Height Surfaces for Linear Operators
It is known for linear operators with polynomial coefficients annihilati...
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05/09/2022
Photo-to-Shape Material Transfer for Diverse Structures
We introduce a method for assigning photorealistic relightable materials...
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04/03/2022
Learning High-DOF Reaching-and-Grasping via Dynamic Representation of Gripper-Object Interaction
We approach the problem of high-DOF reaching-and-grasping via learning j...
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02/20/2022
3DRM:Pair-wise relation module for 3D object detection
Context has proven to be one of the most important factors in object lay...
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02/20/2022
ARM3D: Attention-based relation module for indoor 3D object detection
Relation context has been proved to be useful for many challenging visio...
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02/17/2022
Point cloud completion on structured feature map with feedback network
In this paper, we tackle the challenging problem of point cloud completi...
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02/06/2022
FEAT: Face Editing with Attention
Employing the latent space of pretrained generators has recently been sh...
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01/29/2022
On the Global Convergence of Particle Swarm Optimization Methods
In this paper we provide a rigorous convergence analysis for the renowne...
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01/25/2022
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
We present ShapeFormer, a transformer-based network that produces a dist...
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11/05/2021
Test of Weak Separability for Spatially Stationary Functional Field
For spatially dependent functional data, a generalized Karhunen-Loève ex...
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08/31/2021
Learning Practically Feasible Policies for Online 3D Bin Packing
We tackle the Online 3D Bin Packing Problem, a challenging yet practical...
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08/01/2021
Mean-field particle swarm optimization
In this work we survey some recent results on the global minimization of...
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07/09/2021
UrbanScene3D: A Large Scale Urban Scene Dataset and Simulator
The ability to perceive the environments in different ways is essential ...
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06/01/2021
Consistent Two-Flow Network for Tele-Registration of Point Clouds
Rigid registration of partial observations is a fundamental problem in v...
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04/14/2021
Zero-Inertia Limit: from Particle Swarm Optimization to Consensus Based Optimization
Recently a continuous description of the particle swarm optimization (PS...
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04/07/2021
VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping
The drone navigation requires the comprehensive understanding of both vi...
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12/24/2020
Hausdorff Point Convolution with Geometric Priors
Without a shape-aware response, it is hard to characterize the 3D geomet...
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12/23/2020
Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization
Autonomous 3D acquisition of outdoor environments poses special challeng...
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09/19/2020
Differentiable Refraction-Tracing for Mesh Reconstruction of Transparent Objects
Capturing the 3D geometry of transparent objects is a challenging task, ...
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08/20/2020
Object Properties Inferring from and Transfer for Human Interaction Motions
Humans regularly interact with their surrounding objects. Such interacti...
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06/29/2020
Abnormal activity capture from passenger flow of elevator based on unsupervised learning and fine-grained multi-label recognition
We present a work-flow which aims at capturing residents' abnormal activ...
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06/15/2020
Sparse Gaussian Process Based On Hat Basis Functions
Gaussian process is one of the most popular non-parametric Bayesian meth...
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04/27/2020
GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task
Multi-label networks with branches are proved to perform well in both ac...
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02/01/2020
Efficient q-Integer Linear Decomposition of Multivariate Polynomials
We present two new algorithms for the computation of the q-integer linea...
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01/31/2020
Consensus-Based Optimization on the Sphere I: Well-Posedness and Mean-Field Limit
We introduce a new stochastic Kuramoto-Vicsek-type model for global opti...
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01/31/2020
Consensus-based Optimization on the Sphere II: Convergence to Global Minimizers and Machine Learning
We present the implementation of a new stochastic Kuramoto-Vicsek-type m...
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10/26/2019
ETNet: Error Transition Network for Arbitrary Style Transfer
Numerous valuable efforts have been devoted to achieving arbitrary style...
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09/15/2019
Efficient Rational Creative Telescoping
We present a new algorithm to compute minimal telescopers for rational f...
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09/03/2019
Learning Elastic Constitutive Material and Damping Models
The fidelity of a deformation simulation is highly dependent upon the un...
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06/18/2019
Active Scene Understanding via Online Semantic Reconstruction
We propose a novel approach to robot-operated active understanding of un...
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04/25/2019
Constructing minimal telescopers for rational functions in three discrete variables
We present a new algorithm for constructing minimal telescopers for rati...
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03/25/2019
LOGAN: Unpaired Shape Transform in Latent Overcomplete Space
We present LOGAN, a deep neural network aimed at learning generic shape ...
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01/13/2019
Bias detection of PM_2.5 monitor readings using hidden dynamic geostatistical calibration model
Accurate and reliable data stream plays an important role in air quality...
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11/27/2018
Patch-based Progressive 3D Point Set Upsampling
We present a detail-driven deep neural network for point set upsampling....
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11/26/2018
Pair-wise Exchangeable Feature Extraction for Arbitrary Style Transfer
Style transfer has been an important topic in both computer vision and g...
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08/15/2018
Neural Material: Learning Elastic Constitutive Material and Damping Models from Sparse Data
The accuracy and fidelity of deformation simulations are highly dependen...
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08/12/2018