Thread by @stephenwithavee

Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

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Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation

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Meta-Teacher For Face Anti-Spoofing

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Robust Analytics for Video-Based Gait Biometrics

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AlphaRotate: A Rotation Detection Benchmark using TensorFlow

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Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data

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Sci-Net: a Scale Invariant Model for Building Detection from Aerial Images

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NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset

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Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance

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The channel-spatial attention-based vision transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery

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Multimodal Virtual Point 3D Detection

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DriverGym: Democratising Reinforcement Learning for Autonomous Driving

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Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification

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T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging

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AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models

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Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules

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Transformer for Polyp Detection

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Target Layer Regularization for Continual Learning Using Cramer-Wold Generator

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Visual Intelligence through Human Interaction

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Action2video: Generating Videos of Human 3D Actions

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A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition

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UET-Headpose: A sensor-based top-view head pose dataset

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Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks

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Factorial Convolution Neural Networks

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Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs

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Visual Understanding of Complex Table Structures from Document Images

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Full-attention based Neural Architecture Search using Context Auto-regression

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Where to Look: A Unified Attention Model for Visual Recognition with Reinforcement Learning

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PhysXNet: A Customizable Approach for LearningCloth Dynamics on Dressed People

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Local Multi-Head Channel Self-Attention for Facial Expression Recognition

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Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation

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Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network

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Auxiliary Loss Adaption for Image Inpainting

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Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks

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Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space

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Unsupervised Action Localization Crop in Video Retargeting for 3D ConvNets

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Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors

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Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation

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Searching for TrioNet: Combining Convolution with Local and Global Self-Attention

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FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations

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Attention Mechanisms in Computer Vision: A Survey

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Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration

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Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search

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D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos

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FILIP: Fine-grained Interactive Language-Image Pre-Training

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Deep Semantic Manipulation of Facial Videos

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Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge

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QK Iteration: A Self-Supervised Representation Learning Algorithm for Image Similarity

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Disparities in Dermatology AI: Assessments Using Diverse Clinical Images

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RapidRead: Global Deployment of State-of-the-art Radiology AI for a Large Veterinary Teleradiology Practice

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Comparative Analysis of Machine Learning Models for Predicting Travel Time

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2.5D Vehicle Odometry Estimation

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Image-specific Convolutional Kernel Modulation for Single Image Super-resolution

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An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences

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An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences

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GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving

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Advancement of Deep Learning in Pneumonia and Covid-19 Classification and Localization: A Qualitative and Quantitative Analysis

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A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution

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Bag of Tricks and A Strong baseline for Image Copy Detection

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LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations

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Coarse-to-fine Animal Pose and Shape Estimation

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CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles

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Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)

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Self-supervised High-fidelity and Re-renderable 3D Facial Reconstruction from a Single Image

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Which CNNs and Training Settings to Choose for Action Unit Detection? A Study Based on a Large-Scale Dataset

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Pansharpening by convolutional neural networks in the full resolution framework

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SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks

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Learning Intrinsic Images for Clothing

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Language bias in Visual Question Answering: A Survey and Taxonomy

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Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation

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IKEA Object State Dataset: A 6DoF object pose estimation dataset and benchmark for multi-state assembly objects

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INTERN: A New Learning Paradigm Towards General Vision

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CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images

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Achieving Human Parity on Visual Question Answering

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Transparent Human Evaluation for Image Captioning

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Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution

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Identifying the Factors that Influence Urban Public Transit Demand

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Segmentation of Lung Tumor from CT Images using Deep Supervision

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The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

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Quality Measures in Biometric Systems

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Learning Scene Dynamics from Point Cloud Sequences

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TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video

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Compositional Transformers for Scene Generation

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Generating Unrestricted 3D Adversarial Point Clouds

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Motion Detection using CSI from Raspberry Pi 4

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2nd Place Solution to Facebook AI Image Similarity Challenge Matching Track

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Two-Face: Adversarial Audit of Commercial Face Recognition Systems

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DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation

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Self-Attending Task Generative Adversarial Network for Realistic Satellite Image Creation

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Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

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MPF6D: Masked Pyramid Fusion 6D Pose Estimation

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DeepCurrents: Learning Implicit Representations of Shapes with Boundaries

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Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning

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See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation

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Blind VQA on 360° Video via Progressively Learning from Pixels, Frames and Video

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Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy

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ClipCap: CLIP Prefix for Image Captioning

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Interactive segmentation using U-Net with weight map and dynamic user interactions

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LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving

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TransMix: Attend to Mix for Vision Transformers

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Restormer: Efficient Transformer for High-Resolution Image Restoration

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Swin Transformer V2: Scaling Up Capacity and Resolution

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PyTorchVideo: A Deep Learning Library for Video Understanding

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Simple but Effective: CLIP Embeddings for Embodied AI

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Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning

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Fully Automatic Page Turning on Real Scores

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Textless Speech Emotion Conversion using Decomposed and Discrete Representations

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Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning

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Investigating self-supervised front ends for speech spoofing countermeasures

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Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme Learning Machine with a New Weighting Scheme and Spectro-Temporal Features Along with Classical Feature Selection and A New Quantum-Inspired Dimension Reduction Method

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Direct Noisy Speech Modeling for Noisy-to-Noisy Voice Conversion

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Speech Emotion Recognition System by Quaternion Nonlinear Echo State Network

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Symbolic Music Loop Generation with VQ-VAE

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Biologically inspired speech emotion recognition

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S-DCCRN: Super Wide Band DCCRN with learnable complex feature for speech enhancement

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Integrated Semantic and Phonetic Post-correction for Chinese Speech Recognition

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An Exploratory Study on Perceptual Spaces of the Singing Voice

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Zero-shot Singing Technique Conversion

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Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data

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Rapping-Singing Voice Synthesis based on Phoneme-level Prosody Control

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Transformer-S2A: Robust and Efficient Speech-to-Animation

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Joint Models for Cause-of-Death Mortality in Multiple Populations

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Can hesitancy be mitigated by free choice across COVID-19 vaccine types?

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Risk-Free Rate in the Covid-19 Pandemic: Application Mistakes and Conclusions for Traders

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A Multi-criteria Approach to Evolve Sparse Neural Architectures for Stock Market Forecasting

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Price Stability of Cryptocurrencies as a Medium of Exchange

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Spillovers of US Interest Rates: Monetary Policy & Information Effects

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Forecasting Crude Oil Price Using Event Extraction

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Information dynamics of price and liquidity around the 2017 Bitcoin markets crash

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FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance

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Effect of the U.S.--China Trade War on Stock Markets: A Financial Contagion Perspective

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