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09/20/2023
StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding
Charts are common in literature across different scientific fields, conv...
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09/19/2023
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving
Annotating 3D LiDAR point clouds for perception tasks including 3D objec...
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09/17/2023
OWL: A Large Language Model for IT Operations
With the rapid development of IT operations, it has become increasingly ...
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09/15/2023
Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors
Cross-domain pedestrian detection aims to generalize pedestrian detector...
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09/11/2023
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
Domain shifts such as sensor type changes and geographical situation var...
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09/06/2023
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
As the size of large language models (LLMs) continues to grow, model com...
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08/30/2023
FPTQ: Fine-grained Post-Training Quantization for Large Language Models
In the era of large-scale language models, the substantial parameter siz...
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08/19/2023
ControlCom: Controllable Image Composition using Diffusion Model
Image composition targets at synthesizing a realistic composite image fr...
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08/16/2023
Matching with multiple criteria and its application to health disparities research
Matching is a popular nonparametric covariate adjustment strategy in emp...
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08/09/2023
Foreground Object Search by Distilling Composite Image Feature
Foreground object search (FOS) aims to find compatible foreground object...
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08/01/2023
ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation
Image-grounded dialogue systems benefit greatly from integrating visual ...
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07/08/2023
Large Language Models for Supply Chain Optimization
Supply chain operations traditionally involve a variety of complex decis...
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07/04/2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
Recent works have proposed to craft adversarial clothes for evading pers...
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07/04/2023
Cross-Element Combinatorial Selection for Multi-Element Creative in Display Advertising
The effectiveness of ad creatives is greatly influenced by their visual ...
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06/26/2023
A Collaborative Transfer Learning Framework for Cross-domain Recommendation
In the recommendation systems, there are multiple business domains to me...
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06/24/2023
Estimating the Causal Effect of Early ArXiving on Paper Acceptance
What is the effect of releasing a preprint of a paper before it is submi...
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06/05/2023
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction
Click-through rate (CTR) prediction aims to predict the probability that...
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06/01/2023
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
It is a long-term vision for Autonomous Driving (AD) community that the ...
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05/28/2023
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness
Recent works found that deep neural networks (DNNs) can be fooled by adv...
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05/25/2023
NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts
We introduce NaSGEC, a new dataset to facilitate research on Chinese gra...
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05/16/2023
SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification
Although Domain Generalization (DG) problem has been fast-growing in the...
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05/10/2023
Direct imaging methods for reconstructing a locally rough interface from phaseless total-field data or phased far-field data
This paper is concerned with the problem of inverse scattering of time-h...
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04/20/2023
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Point cloud based 3D deep model has wide applications in many applicatio...
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04/17/2023
Enhancing Personalized Ranking With Differentiable Group AUC Optimization
AUC is a common metric for evaluating the performance of a classifier. H...
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04/14/2023
Subsampling-Based Modified Bayesian Information Criterion for Large-Scale Stochastic Block Models
Identifying the number of communities is a fundamental problem in commun...
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04/12/2023
Prediction method of cigarette draw resistance based on correlation analysis
The cigarette draw resistance monitoring method is incomplete and single...
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04/11/2023
TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation
Secure computation is of critical importance to not only the DoD, but ac...
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04/07/2023
Generalizing the intention-to-treat effect of an active control from historical placebo-controlled trials to an active-controlled trial
In many clinical settings, an active-controlled trial design (e.g., a no...
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04/03/2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Existing image restoration methods mostly leverage the posterior distrib...
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03/31/2023
A Closer Look at Few-Shot 3D Point Cloud Classification
In recent years, research on few-shot learning (FSL) has been fast-growi...
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03/30/2023
Switching Pushing Skill Combined MPC and Deep Reinforcement Learning for Planar Non-prehensile Manipulation
In this paper, a novel switching pushing skill algorithm is proposed to ...
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03/24/2023
Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
In this work, we investigate the problem of creating high-fidelity 3D co...
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03/24/2023
Pi-ViMo: Physiology-inspired Robust Vital Sign Monitoring using mmWave Radars
Continuous monitoring of human vital signs using non-contact mmWave rada...
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03/23/2023
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification
To benefit the complementary information between heterogeneous data, we ...
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03/22/2023
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
Multi-agent collaborative perception (MCP) has recently attracted much a...
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03/21/2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Global channel pruning (GCP) aims to remove a subset of channels (filter...
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03/13/2023
Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection
Current 3D object detection models follow a single dataset-specific trai...
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03/10/2023
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection
Unsupervised Domain Adaptation (UDA) technique has been explored in 3D c...
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03/04/2023
A Nyström method for scattering by a two-layered medium with a rough boundary
This paper presents a study on the integral equation method and the Nyst...
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01/30/2023
Anchor-Based Adversarially Robust Zero-Shot Learning Driven by Language
Deep neural networks are vulnerable to adversarial attacks. We consider ...
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01/16/2023
DarkVision: A Benchmark for Low-light Image/Video Perception
Imaging and perception in photon-limited scenarios is necessary for vari...
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01/13/2023
YOLOv6 v3.0: A Full-Scale Reloading
The YOLO community has been in high spirits since our first two releases...
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12/26/2022
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks
Adversarial patch is an important form of real-world adversarial attack ...
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12/20/2022
ADAS: A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation
State-of-the-art 3D semantic segmentation models are trained on the off-...
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12/04/2022
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks
Adversarial attacks can easily fool object recognition systems based on ...
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12/03/2022
Make RepVGG Greater Again: A Quantization-aware Approach
The tradeoff between performance and inference speed is critical for pra...
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11/29/2022
Association between author metadata and acceptance: A feature-rich, matched observational study of a corpus of ICLR submissions between 2017-2022
Many recent studies have probed status bias in the peer-review process o...
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11/23/2022
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Language-guided image editing has achieved great success recently. In th...
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11/15/2022
Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation
The linear ensemble based strategy, i.e., averaging ensemble, has been p...
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10/22/2022
