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06/19/2023
Frame Fusion with Vehicle Motion Prediction for 3D Object Detection
In LiDAR-based 3D detection, history point clouds contain rich temporal ...
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05/21/2023
Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks
The training process of ReLU neural networks often exhibits complicated ...
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03/27/2023
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
In the field of 3D object detection for autonomous driving, the sensor p...
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02/26/2023
Pillar R-CNN for Point Cloud 3D Object Detection
The performance of point cloud 3D object detection hinges on effectively...
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01/18/2023
HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness
RGB-D saliency detection aims to fuse multi-modal cues to accurately loc...
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11/27/2022
Coverage Analysis for Cellular-Connected Random 3D Mobile UAVs with Directional Antennas
This letter proposes an analytical framework to evaluate the coverage pe...
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10/13/2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
Deep learning models have shown their vulnerability when dealing with ad...
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10/13/2022
Why self-attention is Natural for Sequence-to-Sequence Problems? A Perspective from Symmetries
In this paper, we show that structures similar to self-attention are nat...
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10/07/2022
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks
In this work, we explore the maximum-margin bias of quasi-homogeneous ne...
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08/28/2022
Removing Rain Streaks via Task Transfer Learning
Due to the difficulty in collecting paired real-world training data, ima...
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08/17/2022
Correcting Convexity Bias in Function and Functional Estimate
A general framework with a series of different methods is proposed to im...
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08/04/2022
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System
High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to ...
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07/20/2022
AiATrack: Attention in Attention for Transformer Visual Tracking
Transformer trackers have achieved impressive advancements recently, whe...
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06/08/2022
Depth-Adapted CNNs for RGB-D Semantic Segmentation
Recent RGB-D semantic segmentation has motivated research interest thank...
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06/07/2022
Generalization Error Bounds for Deep Neural Networks Trained by SGD
Generalization error bounds for deep neural networks trained by stochast...
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06/05/2022
Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
The convergence of GD and SGD when training mildly parameterized neural ...
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05/16/2022
PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection
Real-time and high-performance 3D object detection is of critical import...
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04/24/2022
The Multiscale Structure of Neural Network Loss Functions: The Effect on Optimization and Origin
Local quadratic approximation has been extensively used to study the opt...
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03/29/2022
Exploring Frequency Adversarial Attacks for Face Forgery Detection
Various facial manipulation techniques have drawn serious public concern...
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02/15/2022
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
In this paper, we study the problem of finding mixed Nash equilibrium fo...
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02/09/2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
Variational Autoencoders (VAEs) have recently been highly successful at ...
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12/31/2021
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs
Graph neural networks (GNN) have shown great success in learning from gr...
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10/17/2021
A Riemannian Mean Field Formulation for Two-layer Neural Networks with Batch Normalization
The training dynamics of two-layer neural networks with batch normalizat...
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10/10/2021
Modality-Guided Subnetwork for Salient Object Detection
Recent RGBD-based models for saliency detection have attracted research ...
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08/28/2021
Learning to Track Objects from Unlabeled Videos
In this paper, we propose to learn an Unsupervised Single Object Tracker...
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06/05/2021
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
Lossy compression algorithms are typically designed to achieve the lowes...
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05/27/2021
The Sobolev Regularization Effect of Stochastic Gradient Descent
The multiplicative structure of parameters and input data in the first l...
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04/02/2021
Learning Transferable Kinematic Dictionary for 3D Human Pose and Shape Reconstruction
Estimating 3D human pose and shape from a single image is highly under-c...
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03/30/2021
Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks
In an attempt to better understand structural benefits and generalizatio...
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03/27/2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
Adversarial attack arises due to the vulnerability of deep neural networ...
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02/19/2021
Continual Learning for Blind Image Quality Assessment
The explosive growth of image data facilitates the fast development of i...
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12/14/2020
Achieving Adversarial Robustness Requires An Active Teacher
A new understanding of adversarial examples and adversarial robustness i...
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12/02/2020
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks
Automatic self-diagnosis provides low-cost and accessible healthcare via...
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11/22/2020
Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning
The emerging vision-and-language navigation (VLN) problem aims at learni...
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10/17/2020
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
Active learning aims to address the paucity of labeled data by finding t...
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10/12/2020
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning
It is not clear yet why ADAM-alike adaptive gradient algorithms suffer f...
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10/11/2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
Graph neural networks (GNN) have shown great success in learning from gr...
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10/11/2020
Infrared target tracking based on proximal robust principal component analysis method
Infrared target tracking plays an important role in both civil and milit...
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10/10/2020
Interpretable Neural Computation for Real-World Compositional Visual Question Answering
There are two main lines of research on visual question answering (VQA):...
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09/22/2020
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't
The purpose of this article is to review the achievements made in the la...
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09/14/2020
Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms
A simple approach is proposed to obtain complexity controls for neural n...
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09/14/2020
A Qualitative Study of the Dynamic Behavior of Adaptive Gradient Algorithms
The dynamic behavior of RMSprop and Adam algorithms is studied through a...
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08/13/2020
The Slow Deterioration of the Generalization Error of the Random Feature Model
The random feature model exhibits a kind of resonance behavior when the ...
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08/03/2020
Rethinking Image Deraining via Rain Streaks and Vapors
Single image deraining regards an input image as a fusion of a backgroun...
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07/22/2020
Unsupervised Deep Representation Learning for Real-Time Tracking
The advancement of visual tracking has continuously been brought by deep...
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07/20/2020
Robust Tracking against Adversarial Attacks
While deep convolutional neural networks (CNNs) are vulnerable to advers...
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07/19/2020
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
Visual Question Answering (VQA) has achieved great success thanks to the...
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06/25/2020
The Quenching-Activation Behavior of the Gradient Descent Dynamics for Two-layer Neural Network Models
A numerical and phenomenological study of the gradient descent (GD) algo...
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06/24/2020
Accelerating MRI Reconstruction on TPUs
The advanced magnetic resonance (MR) image reconstructions such as the c...
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06/21/2020
