End to End

"End-to-end" systems aim to streamline complex processes by integrating multiple stages into a single, unified model, eliminating the need for intermediate steps and potentially improving efficiency and performance. Current research focuses on applying this approach across diverse fields, utilizing architectures like transformers, reinforcement learning, and spiking neural networks to tackle challenges in autonomous driving, robotics, speech processing, and natural language processing. This approach offers significant potential for improving the accuracy, speed, and robustness of various applications, while also simplifying development and deployment.

Papers

August 9, 2023

An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images
Hao Cheng, Mengmeng Liu, Lin Chen
Autonomous Driving Human Prediction End to End Trajectory Prediction Web Tracking Monocular Image Ground Truth Trajectory Online Multi Object Tracking

August 8, 2023

S&Reg: End-to-End Learning-Based Model for Multi-Goal Path Planning Problem
Yuan Huang, Kairui Gu, Hee-hyol Lee
Full Model End to End Path Planning Optimal Path Path Planner Feasible Path

August 7, 2023

End-to-End Evaluation for Low-Latency Simultaneous Speech Translation
Christian Huber, Tu Anh Dinh, Carlos Mullov, Ngoc Quan Pham, Thai Binh Nguyen, Fabian Retkowski, Stefan Constantin, Enes Yavuz Ugan, Danni Liu, Zhaolin Li, Sai Koneru, Jan Niehues, Alexander Waibel
End to End Speech Translation Low Latency Translation Quality Model Latency

August 4, 2023

ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo
Qiang Zhou, Chaohui Yu, Jingliang Li, Yuang Liu, Jing Wang, Zhibin Wang
End to End Multi View Stereo Mono to Stereo Efficient Framework Depth Refinement

August 3, 2023

July 31, 2023

End-to-End Reinforcement Learning for Torque Based Variable Height Hopping
Raghav Soni, Daniel Harnack, Hauke Isermann, Sotaro Fushimi, Shivesh Kumar, Frank Kirchner
End to End Legged Robot Legged Locomotion Basin Hopping Stable Hopping

July 28, 2023

July 25, 2023

RecursiveDet: End-to-End Region-based Recursive Object Detection
Jing Zhao, Li Sun, Qingli Li
End to End Bounding Box Recursive Algorithm Multiple Detector Sparse R CNN Iterative Object

July 20, 2023

Data-Driven Latency Probability Prediction for Wireless Networks: Focusing on Tail Probabilities
Samie Mostafavi, Gourav Prateek Sharma, James Gross
End to End Wireless Network Tail Risk Latency Predictor Delay Distribution Latency Metric Time Sensitive Networking

July 19, 2023

Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation
Junhao Dong, Zhu Meng, Delong Liu, Jiaxuan Liu, Zhicheng Zhao, Fei Su
End to End Semi Supervised Semantic Segmentation Latent Prototype Prototype Based Prototype Generation

July 18, 2023

End-to-End Neural Network Training for Hyperbox-Based Classification
Denis Mayr Lima Martins, Christian Lülf, Fabian Gieseke
Neural Network End to End Differentiable Framework

July 13, 2023

July 6, 2023

A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition
Shadi Sartipi, Mastaneh Torkamani-Azar, Mujdat Cetin
End to End Emotion Recognition Pulse Signal Smooth Signal Temporal Attention Network

July 3, 2023

An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 2023
Sheng Zhao, Qilong Yuan, Yibo Duan, Zhuoyue Chen
End to End Synthesized Speech Open Challenge Speech Encoder High Fidelity Vocoder Audio Deepfake

July 1, 2023

PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers
Peidong Jia, Jiaming Liu, Senqiao Yang, Jiarui Wu, Xiaodong Xie, Shanghang Zhang
Transformer Megatron Decepticons End to End Prompt Learning Adaptive Object Detection Transformer Based Detector

June 30, 2023

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents
Mehrad Moradshahi, Tianhao Shen, Kalika Bali, Monojit Choudhury, Gaël de Chalendar, Anmol Goel, Sungkyun Kim, Prashant Kodali, Ponnurangam Kumaraguru, Nasredine Semmar, Sina J. Semnani, Jiwon Seo, Vivek Seshadri, Manish Shrivastava, Michael Sun, Aditya Yadavalli, Chaobin You, Deyi Xiong, Monica S. Lam
End to End Dialogue Agent Cross Linguistic Language Dataset X Klaim Shot Keyword

June 29, 2023

MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion
Ce Zhang, Chengjie Zhang, Yiluan Guo, Lingji Chen, Michael Happold
End to End Object Detection Object Tracking Multiple Object Tracking LiDAR Camera Fusion Autonomous Vehicle Perception

End to End

Papers

An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images

S&Reg: End-to-End Learning-Based Model for Multi-Goal Path Planning Problem

End-to-End Evaluation for Low-Latency Simultaneous Speech Translation

ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo

Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach

End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control

End-to-End Reinforcement Learning for Torque Based Variable Height Hopping

Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection System

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

RecursiveDet: End-to-End Region-based Recursive Object Detection

Data-Driven Latency Probability Prediction for Wireless Networks: Focusing on Tail Probabilities

Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation

End-to-End Neural Network Training for Hyperbox-Based Classification

Personalization for BERT-based Discriminative Speech Recognition Rescoring

Automated Deception Detection from Videos: Using End-to-End Learning Based High-Level Features and Classification Approaches

A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition

An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 2023

PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents

MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion