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08/21/2023
Differentiable Frank-Wolfe Optimization Layer
Differentiable optimization has received a significant amount of attenti...
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08/11/2023
Image-based Geolocalization by Ground-to-2.5D Map Matching
We study the image-based geolocalization problem that aims to locate gro...
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07/17/2023
ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion
Radars, due to their robustness to adverse weather conditions and abilit...
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07/11/2023
GujiBERT and GujiGPT: Construction of Intelligent Information Processing Foundation Language Models for Ancient Texts
In the context of the rapid development of large language models, we hav...
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06/22/2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling
A pooling operation is essential for effective graph-level representatio...
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05/30/2023
On a neural network approach for solving potential control problem of the semiclassical Schrödinger equation
Robust control design for quantum systems is a challenging and key task ...
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05/16/2023
One-shot neural band selection for spectral recovery
Band selection has a great impact on the spectral recovery quality. To s...
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04/09/2023
Reweighted Mixup for Subpopulation Shift
Subpopulation shift exists widely in many real-world applications, which...
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03/13/2023
Deploying Offline Reinforcement Learning with Human Feedback
Reinforcement learning (RL) has shown promise for decision-making tasks ...
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01/06/2023
CyberLoc: Towards Accurate Long-term Visual Localization
This technical report introduces CyberLoc, an image-based visual localiz...
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01/05/2023
Event Camera Data Pre-training
This paper proposes a pre-trained neural network for handling event came...
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12/08/2022
Convergence of the Fourier-Galerkin spectral method for the Boltzmann equation with uncertainties
It is well-known that the Fourier-Galerkin spectral method has been a po...
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10/30/2022
ISG: I can See Your Gene Expression
This paper aims to predict gene expression from a histology slide image ...
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10/29/2022
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler
Pipelining between data loading and computation is a critical tensor pro...
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10/19/2022
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation
A promising paradigm for offline reinforcement learning (RL) is to const...
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09/19/2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Subpopulation shift wildly exists in many real-world machine learning ap...
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07/25/2022
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning
Continual learning is a learning paradigm that learns tasks sequentially...
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07/24/2022
Online Continual Learning with Contrastive Vision Transformer
Online continual learning (online CL) studies the problem of learning se...
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07/23/2022
Learning Object Placement via Dual-path Graph Completion
Object placement aims to place a foreground object over a background ima...
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03/29/2022
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
Learning how humans manipulate objects requires machines to acquire know...
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03/26/2022
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching
We address the problem of ground-to-satellite image geo-localization, th...
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03/22/2022
Exploring High-Order Structure for Robust Graph Structure Learning
Recent studies show that Graph Neural Networks (GNNs) are vulnerable to ...
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03/17/2022
Gaussian initializations help deep variational quantum circuits escape from the barren plateau
Variational quantum circuits have been widely employed in quantum simula...
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02/28/2022
Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
Transformers are becoming the mainstream solutions for various tasks lik...
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02/17/2022
AKB-48: A Real-World Articulated Object Knowledge Base
Human life is populated with articulated objects. A comprehensive unders...
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01/29/2022
Robust Imitation Learning from Corrupted Demonstrations
We consider offline Imitation Learning from corrupted demonstrations whe...
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01/18/2022
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation
Scene Graph Generation (SGG) aims to build a structured representation o...
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12/24/2021
iSeg3D: An Interactive 3D Shape Segmentation Tool
A large-scale dataset is essential for learning good features in 3D shap...
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12/22/2021
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks
Over-smoothing is a challenging problem, which degrades the performance ...
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12/17/2021
Transcribing Natural Languages for The Deaf via Neural Editing Programs
This work studies the task of glossification, of which the aim is to em ...
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12/14/2021
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval
Articulated objects are pervasive in daily life. However, due to the int...
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12/02/2021
Multi-fidelity methods for uncertainty propagation in kinetic equations
The construction of efficient methods for uncertainty quantification in ...
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10/27/2021
Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties
Uncertainty in data is certainly one of the main problems in epidemiolog...
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10/21/2021
Transformer Acceleration with Dynamic Sparse Attention
Transformers are the mainstream of NLP applications and are becoming inc...
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07/20/2021
A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs
In this paper, we consider the development of efficient numerical method...
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07/07/2021
Multi-modal Affect Analysis using standardized data within subjects in the Wild
Human affective recognition is an important factor in human-computer int...
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07/05/2021
OPA: Object Placement Assessment Dataset
Image composition aims to generate realistic composite image by insertin...
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06/28/2021
Making Images Real Again: A Comprehensive Survey on Deep Image Composition
As a common image editing operation, image composition aims to cut the f...
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05/07/2021
Towards Real-World Category-level Articulation Pose Estimation
Human life is populated with articulated objects. Current Category-level...
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04/16/2021
Finite Difference Nets: A Deep Recurrent Framework for Solving Evolution PDEs
There has been an arising trend of adopting deep learning methods to stu...
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02/18/2021
Solving the linear transport equation by a deep neural network approach
In this paper, we study the linear transport model by adopting the deep ...
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01/19/2021
CAA : Channelized Axial Attention for Semantic Segmentation
Self-attention and channel attention, modelling the semantic interdepend...
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12/28/2020
SPINS: Structure Priors aided Inertial Navigation System
Although Simultaneous Localization and Mapping (SLAM) has been an active...
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12/02/2020
PlueckerNet: Learn to Register 3D Line Reconstructions
Aligning two partially-overlapped 3D line reconstructions in Euclidean s...
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10/16/2020
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
Imitation learning from observation (LfO) is more preferable than imitat...
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09/23/2020
LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning
End-to-end convolution representation learning has been proved to be ver...
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09/19/2020
Weak-shot Fine-grained Classification via Similarity Transfer
Recognizing fine-grained categories remains a challenging task, due to t...
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07/29/2020
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
Blind Perspective-n-Point (PnP) is the problem of estimating the positio...
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07/07/2020
Robust Structured Statistical Estimation via Conditional Gradient Type Methods
Structured statistical estimation problems are often solved by Condition...
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06/16/2020
