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09/18/2023
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
In this study, we address the challenge of 3D scene structure recovery f...
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09/18/2023
Learning Parallax for Stereo Event-based Motion Deblurring
Due to the extremely low latency, events have been recently exploited to...
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09/06/2023
An SPH formulation for general plate and shell structures with finite deformation and large rotation
In this paper, we propose a reduced-dimensional smoothed particle hydrod...
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08/31/2023
PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction
Vectorized high-definition map online construction has garnered consider...
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08/25/2023
DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects
Unsupervised methods for reconstructing structures face significant chal...
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08/22/2023
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Recent strides in Text-to-3D techniques have been propelled by distillin...
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08/21/2023
UbiPhysio: Support Daily Functioning, Fitness, and Rehabilitation with Action Understanding and Feedback in Natural Language
We introduce UbiPhysio, a milestone framework that delivers fine-grained...
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08/21/2023
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
Intuitive physics is pivotal for human understanding of the physical wor...
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08/20/2023
MacFormer: Map-Agent Coupled Transformer for Real-time and Robust Trajectory Prediction
Predicting the future behavior of agents is a fundamental task in autono...
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08/20/2023
StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 ha...
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07/20/2023
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Reconstructing accurate 3D scenes from images is a long-standing vision ...
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07/07/2023
Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models
In this perspective paper, we first comprehensively review existing eval...
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06/28/2023
Event Detection from Social Media Stream: Methods, Datasets and Opportunities
Social media streams contain large and diverse amount of information, ra...
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06/17/2023
MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction
This report introduces the 1st place winning solution for the Autonomous...
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06/16/2023
End-to-End Vectorized HD-map Construction with Piecewise Bezier Curve
Vectorized high-definition map (HD-map) construction, which focuses on t...
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06/01/2023
MEWL: Few-shot multimodal word learning with referential uncertainty
Without explicit feedback, humans can rapidly learn the meaning of words...
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05/30/2023
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
The recent advancements in image-text diffusion models have stimulated r...
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05/08/2023
Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings
Digital transformation in buildings accumulates massive operational data...
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04/17/2023
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings
Predicting pedestrian behavior when interacting with vehicles is one of ...
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04/04/2023
Deep Learning Based Joint Beamforming Design in IRS-Assisted Secure Communications
In this article, physical layer security (PLS) in an intelligent reflect...
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04/03/2023
Model-Agnostic Reachability Analysis on Deep Neural Networks
Verification plays an essential role in the formal analysis of safety-cr...
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03/29/2023
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks
We study building a multi-task agent in Minecraft. Without human demonst...
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02/12/2023
Denoising and Prompt-Tuning for Multi-Behavior Recommendation
In practical recommendation scenarios, users often interact with items u...
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02/10/2023
XFL: A High Performace, Lightweighted Federated Learning Framework
This paper introduces XFL, an industrial-grade federated learning projec...
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02/03/2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
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01/28/2023
Reachability Analysis of Neural Network Control Systems
Neural network controllers (NNCs) have shown great promise in autonomous...
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01/21/2023
Dynamic MLP for MRI Reconstruction
As convolutional neural networks (CNN) become the most successful recons...
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11/27/2022
BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning
Recent advancements in reinforcement learning algorithms have opened doo...
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11/23/2022
Semantics-Preserving Sketch Embedding for Face Generation
With recent advances in image-to-image translation tasks, remarkable pro...
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11/18/2022
AXI-Pack: Near-Memory Bus Packing for Bandwidth-Efficient Irregular Workloads
Data-intensive applications involving irregular memory streams are ineff...
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10/18/2022
Hierarchical Normalization for Robust Monocular Depth Estimation
In this paper, we address monocular depth estimation with deep neural ne...
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10/07/2022
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification
In unsupervised person Re-ID, peer-teaching strategy leveraging two netw...
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10/05/2022
On the Learning Mechanisms in Physical Reasoning
Is dynamics prediction indispensable for physical reasoning? If so, what...
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09/18/2022
Infrared: A Meta Bug Detector
The recent breakthroughs in deep learning methods have sparked a wave of...
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09/06/2022
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations
Physics-informed neural networks (PINN) can achieve lower development an...
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09/03/2022
A Markov Process Theory for Network Growth Processes of DAG-based Blockchain Systems
Note that the serial structure of blockchain has many essential pitfalls...
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09/02/2022
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning
In Multi-Agent Reinforcement Learning, communication is critical to enco...
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08/23/2022
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks
Few-shot segmentation aims to learn a segmentation model that can be gen...
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07/21/2022
KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS
Supervised multi-view stereo (MVS) methods have achieved remarkable prog...
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07/21/2022
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
Recently, Implicit Neural Representations (INRs) parameterized by neural...
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07/19/2022
Few-shot Open-set Recognition Using Background as Unknowns
Few-shot open-set recognition aims to classify both seen and novel image...
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07/12/2022
Level-set based pre-processing algorithm for particle-based methods
Obtaining high quality particle distribution representing clean geometry...
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06/30/2022
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction
This technical report presents an effective method for motion prediction...
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06/26/2022
Automatic Generation of Product-Image Sequence in E-commerce
Product images are essential for providing desirable user experience in ...
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06/18/2022
EST: Evaluating Scientific Thinking in Artificial Agents
Theoretical ideas and empirical research have shown us a seemingly surpr...
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06/01/2022
On the Perils of Cascading Robust Classifiers
Ensembling certifiably robust neural networks has been shown to be a pro...
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05/28/2022
Multi-agent Databases via Independent Learning
Machine learning is rapidly being used in database research to improve t...
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05/26/2022
Constrained Reinforcement Learning for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
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05/21/2022
Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce
In this paper, we proposed an automatic Scenario-based Multi-product Adv...
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04/30/2022
