Auke J. Wiggers

According to our database, Auke J. Wiggers authored at least 20 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results.

Qiuyu Chen, Xin Jin, Yue Song, Xihui Liu, Shuai Yang, Tao Yang, Ziqiang Li, Jianguo Huang, Yuntao Wei, Baao Xie, Nicu Sebe, Wenjun Zeng, Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amir Habibian, Auke J. Wiggers, Masato Kobayashi, Ning Ding, Toru Tamaki, Marzieh Gheisari, Auguste Genovesio, Yuheng Chen, Dingkun Liu, Xinyao Yang, Xinping Xu, Baicheng Chen, Dongrui Wu, Junhao Geng, Lexiang Lv, Jianxin Lin, Hanzhe Liang, Jie Zhou, Xuanxin Chen, Jinbao Wang, Can Gao, Zhangyi Wang, Zongze Li, Bihan Wen, Yixin Gao, Xiaohan Pan, Xin Li, Zhibo Chen, Baorui Peng, Zhongming Chen, Haoran Jin

CoRR, September, 2025

Controllable 3D Placement of Objects with Scene-Aware Diffusion Models.

Mohamed Omran, Dimitris Kalatzis, Jens Petersen, Amirhossein Habibian, Auke J. Wiggers

CoRR, June, 2025

Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection.

Jens Petersen, Davide Abati, Amirhossein Habibian, Auke J. Wiggers

CoRR, April, 2025

Gaussian Splatting is an Effective Data Generator for 3D Object Detection.

Farhad G. Zanjani, Davide Abati, Auke J. Wiggers, Dimitris Kalatzis, Jens Petersen, Hong Cai, Amirhossein Habibian

CoRR, April, 2025

2024

Generative Location Modeling for Spatially Aware Object Insertion.

Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amirhossein Habibian, Auke J. Wiggers

CoRR, 2024

MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device.

Ties van Rozendaal, Tushar Singhal, Hoang Le, Guillaume Sautière, Amir Said, Krishna Buska, Anjuman Raha, Dimitris Kalatzis, Hitarth Mehta, Frank Mayer, Liang Zhang, Markus Nagel, Auke J. Wiggers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay.

Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set.

Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Auke J. Wiggers, Taco Cohen

Trans. Mach. Learn. Res., 2023

Neural Image Compression with a Diffusion-Based Decoder.

Noor Fathima Ghouse, Jens Petersen, Auke J. Wiggers, Tianlin Xu, Guillaume Sautière

CoRR, 2023

Boosting neural video codecs by exploiting hierarchical redundancy.

Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautière, Auke J. Wiggers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A neural video codec with spatial rate-distortion control.

Noor Fathima Ghouse, Jens Petersen, Guillaume Sautière, Auke J. Wiggers, Reza Pourreza

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

MobileCodec: neural inter-frame video compression on mobile devices.

Hoang Le, Liang Zhang, Amir Said, Guillaume Sautière, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke J. Wiggers

Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

GameCodec: Neural Cloud Gaming Video Codec.

Hoang Le, Reza Pourreza, Amir Said, Guillaume Sautière, Auke J. Wiggers

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020

Parallelized Rate-Distortion Optimized Quantization Using Deep Learning.

Dana Kianfar, Auke J. Wiggers, Amir Said, Reza Pourreza, Taco Cohen

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Predictive Sampling with Forecasting Autoregressive Models.

Auke J. Wiggers, Emiel Hoogeboom

Proceedings of the 37th International Conference on Machine Learning, 2020

Evolutionary Algorithm with Non-parametric Surrogate Model for Tensor Program optimization.

Ioannis Gatopoulos, Romain Lepert, Auke J. Wiggers, Giovanni Mariani, Jakub M. Tomczak

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Simulating Execution Time of Tensor Programs using Graph Neural Networks.

Jakub M. Tomczak, Romain Lepert, Auke J. Wiggers

CoRR, 2019

2018

Risk-averse Behavior Planning for Autonomous Driving under Uncertainty.

Mohammad Naghshvar, Ahmed K. Sadek, Auke J. Wiggers

CoRR, 2018

2016

Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information.

Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2013

Discovering reoccurring motifs to predict opponent behavior.

Auke J. Wiggers, Arnoud Visser

Proceedings of the 16th International Conference on Advanced Robotics, 2013