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ORCIDAuke J. Wiggers
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Journal Articles
- 2023
[j1]Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Auke J. Wiggers, Taco Cohen:
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2024
- [c11]Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen:
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. ICML 2024 - [c10]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:
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. WACV 2024: 4311-4321 - 2023
- [c9]Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautière, Auke J. Wiggers:
Boosting neural video codecs by exploiting hierarchical redundancy. WACV 2023: 5344-5353 - [c8]Noor Fathima Ghouse, Jens Petersen, Guillaume Sautière, Auke J. Wiggers, Reza Pourreza:
A neural video codec with spatial rate-distortion control. WACV 2023: 5354-5363 - 2022
- [c7]Hoang Le, Reza Pourreza, Amir Said, Guillaume Sautière, Auke J. Wiggers:
GameCodec: Neural Cloud Gaming Video Codec. BMVC 2022: 204 - [c6]Hoang Le, Liang Zhang, Amir Said, Guillaume Sautière, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke J. Wiggers:
MobileCodec: neural inter-frame video compression on mobile devices. MMSys 2022: 324-330 - 2020
- [c5]Ioannis Gatopoulos, Romain Lepert, Auke J. Wiggers, Giovanni Mariani, Jakub M. Tomczak:
Evolutionary Algorithm with Non-parametric Surrogate Model for Tensor Program optimization. CEC 2020: 1-8 - [c4]Auke J. Wiggers, Emiel Hoogeboom:
Predictive Sampling with Forecasting Autoregressive Models. ICML 2020: 10260-10269 - [c3]Dana Kianfar, Auke J. Wiggers, Amir Said, Reza Pourreza, Taco Cohen:
Parallelized Rate-Distortion Optimized Quantization Using Deep Learning. MMSP 2020: 1-6 - 2016
- [c2]Auke J. Wiggers, Frans A. Oliehoek
, Diederik M. Roijers:
Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information. ECAI 2016: 1628-1629 - 2013
- [c1]Auke J. Wiggers, Arnoud Visser:
Discovering reoccurring motifs to predict opponent behavior. ICAR 2013: 1-7
Informal and Other Publications
- 2025
- [i13]Farhad G. Zanjani, Davide Abati, Auke J. Wiggers, Dimitris Kalatzis, Jens Petersen, Hong Cai, Amirhossein Habibian:
Gaussian Splatting is an Effective Data Generator for 3D Object Detection. CoRR abs/2504.16740 (2025) - [i12]Jens Petersen, Davide Abati, Amirhossein Habibian, Auke J. Wiggers:
Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection. CoRR abs/2504.17076 (2025) - 2024
- [i11]Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen:
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. CoRR abs/2402.04858 (2024) - [i10]Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amirhossein Habibian, Auke J. Wiggers:
Generative Location Modeling for Spatially Aware Object Insertion. CoRR abs/2410.13564 (2024) - 2023
- [i9]Noor Fathima Ghouse, Jens Petersen, Auke J. Wiggers, Tianlin Xu, Guillaume Sautière:
Neural Image Compression with a Diffusion-Based Decoder. CoRR abs/2301.05489 (2023) - [i8]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:
MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. CoRR abs/2310.01258 (2023) - 2022
- [i7]Hoang Le, Liang Zhang, Amir Said, Guillaume Sautière, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke J. Wiggers:
MobileCodec: Neural Inter-frame Video Compression on Mobile Devices. CoRR abs/2207.08338 (2022) - [i6]Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautière, Auke J. Wiggers:
Boosting neural video codecs by exploiting hierarchical redundancy. CoRR abs/2208.04303 (2022) - 2020
- [i5]Auke J. Wiggers, Emiel Hoogeboom:
Predictive Sampling with Forecasting Autoregressive Models. CoRR abs/2002.09928 (2020) - [i4]Dana Kianfar, Auke J. Wiggers, Amir Said, Reza Pourreza, Taco Cohen:
Parallelized Rate-Distortion Optimized Quantization Using Deep Learning. CoRR abs/2012.06380 (2020) - 2019
- [i3]Jakub M. Tomczak, Romain Lepert, Auke J. Wiggers:
Simulating Execution Time of Tensor Programs using Graph Neural Networks. CoRR abs/1904.11876 (2019) - 2018
- [i2]Mohammad Naghshvar, Ahmed K. Sadek, Auke J. Wiggers:
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty. CoRR abs/1812.01254 (2018) - 2016
- [i1]Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers:
Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information. CoRR abs/1606.06888 (2016)
Coauthor Index
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