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09/19/2023
OccluTrack: Rethinking Awareness of Occlusion for Enhancing Multiple Pedestrian Tracking
Multiple pedestrian tracking faces the challenge of tracking pedestrians...
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09/05/2023
Representation Learning for Sequential Volumetric Design Tasks
Volumetric design, also called massing design, is the first and critical...
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09/04/2023
Direct and Indirect Treatment Effects in the Presence of Semi-Competing Risks
Semi-competing risks refer to the phenomenon that the terminal event (su...
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08/22/2023
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
Cross-scene generalizable NeRF models, which can directly synthesize nov...
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08/04/2023
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection
Discovering ancient agricultural terraces in desert regions is important...
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07/14/2023
Benchmarks and Custom Package for Electrical Load Forecasting
Load forecasting is of great significance in the power industry as it ca...
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07/13/2023
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
This paper introduces InternVid, a large-scale video-centric multimodal ...
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07/03/2023
JourneyDB: A Benchmark for Generative Image Understanding
While recent advancements in vision-language models have revolutionized ...
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07/01/2023
PersonaGen: A Tool for Generating Personas from User Feedback
Personas are crucial in software development processes, particularly in ...
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06/29/2023
SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI
Breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) pl...
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06/28/2023
Separable Pathway Effects of Semi-Competing Risks via Multi-State Models
Semi-competing risks refer to the phenomenon where a primary outcome eve...
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06/27/2023
Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and Dysarthric Speech Recognition
Automatic recognition of disordered and elderly speech remains highly ch...
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06/19/2023
Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment
Hyperspectral image (HSI) classification is gaining a lot of momentum in...
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06/15/2023
Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models
Video Question Answering (VideoQA) has been significantly advanced from ...
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06/15/2023
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
The Landsat program is the longest-running Earth observation program in ...
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06/14/2023
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events
Accurate prediction of electric load is crucial in power grid planning a...
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06/09/2023
ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer
The Transformer structures have been widely used in computer vision and ...
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06/08/2023
Towards An Empirical Theory of Ideologies in the Open Source Software Movement
Encompassing a diverse population of developers, non-technical users, or...
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06/02/2023
Multi-Modal Emotion Recognition for Enhanced Requirements Engineering: A Novel Approach
Requirements engineering (RE) plays a crucial role in developing softwar...
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05/31/2023
DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model
Electrical load forecasting is of great significance for the decision ma...
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05/22/2023
VideoLLM: Modeling Video Sequence with Large Language Models
With the exponential growth of video data, there is an urgent need for a...
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05/10/2023
VideoChat: Chat-Centric Video Understanding
In this study, we initiate an exploration into video understanding by in...
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05/09/2023
InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
We present an interactive visual framework named InternGPT, or iGPT for ...
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05/05/2023
Physics-based network fine-tuning for robust quantitative susceptibility mapping from high-pass filtered phase
Purpose: To improve the generalization ability of convolutional neural n...
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04/28/2023
Optimizing Workflow for Elite Developers: Perspectives on Leveraging SE Bots
Small-scale automation services in Software Engineering, known as SE Bot...
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04/24/2023
Label-free timing analysis of modularized nuclear detectors with physics-constrained deep learning
Pulse timing is an important topic in nuclear instrumentation, with far-...
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04/22/2023
SSN: Stockwell Scattering Network for SAR Image Change Detection
Recently, synthetic aperture radar (SAR) image change detection has beco...
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04/14/2023
A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings
File fragment classification (FFC) on small chunks of memory is essentia...
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04/14/2023
Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration
In this paper, we study a real-world JPEG image restoration problem with...
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04/07/2023
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
Efficient automatic segmentation of multi-level (i.e. main and branch) p...
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04/07/2023
Detecting Chinese Fake News on Twitter during the COVID-19 Pandemic
The outbreak of COVID-19 has led to a global surge of Sinophobia partly ...
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03/29/2023
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
Scale is the primary factor for building a powerful foundation model tha...
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03/28/2023
Unmasked Teacher: Towards Training-Efficient Video Foundation Models
Video Foundation Models (VFMs) have received limited exploration due to ...
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03/17/2023
VPU-EM: An Event-based Modeling Framework to Evaluate NPU Performance and Power Efficiency at Scale
State-of-art NPUs are typically architected as a self-contained sub-syst...
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03/13/2023
NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer
Neural radiance fields (NeRF) show great success in novel view synthesis...
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03/12/2023
PointPatchMix: Point Cloud Mixing with Patch Scoring
Data augmentation is an effective regularization strategy for mitigating...
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02/28/2023
Exploring Self-supervised Pre-trained ASR Models For Dysarthric and Elderly Speech Recognition
Automatic recognition of disordered and elderly speech remains a highly ...
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02/02/2023
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition
The spiking neural network (SNN) using leaky-integrated-and-fire (LIF) n...
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01/25/2023
Rate-Perception Optimized Preprocessing for Video Coding
In the past decades, lots of progress have been done in the video compre...
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01/22/2023
Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision
In this paper, we consider the problem of open-vocabulary semantic segme...
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12/26/2022
A Survey of Face Recognition
Recent years witnessed the breakthrough of face recognition with deep co...
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12/06/2022
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
The foundation models have recently shown excellent performance on a var...
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12/01/2022
Noisy Label Detection for Speaker Recognition
The success of deep neural networks requires both high annotation qualit...
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11/29/2022
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
Virtual reality and augmented reality (XR) bring increasing demand for 3...
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11/26/2022
CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors
This paper presents our solution for the 2nd COVID-19 Competition, occur...
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11/20/2022
Metadata Caching in Presto: Towards Fast Data Processing
Presto is an open-source distributed SQL query engine for OLAP, aiming f...
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11/19/2022
Adjacent Slice Feature Guided 2.5D Network for Pulmonary Nodule Segmentation
More and more attention has been paid to the segmentation of pulmonary n...
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11/17/2022
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer
Learning discriminative spatiotemporal representation is the key problem...
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11/17/2022
InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges
In this report, we present our champion solutions to five tracks at Ego4...
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11/13/2022