Auke J. Wiggers

27 papers A* 2A 6B 1C 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Controllable 3D Placement of Objects with Scene-Aware Diffusion Models. CoRR Mohamed Omran, Dimitris Kalatzis, Jens Petersen, Amirhossein Habibian, Auke J. Wiggers
2025	J	`jnl`	Gaussian Splatting is an Effective Data Generator for 3D Object Detection. CoRR Farhad G. Zanjani, Davide Abati, Auke J. Wiggers, Dimitris Kalatzis, Jens Petersen, Hong Cai, Amirhossein Habibian
2025	J	`jnl`	Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection. CoRR Jens Petersen, Davide Abati, Amirhossein Habibian, Auke J. Wiggers
2025	J	`jnl`	The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results. CoRR 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
2024	A*	`conf`	CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. ICML Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen
2024	J	`jnl`	CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay. CoRR Natasha Butt, Blazej Manczak, Auke J. Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen
2024	J	`jnl`	Generative Location Modeling for Spatially Aware Object Insertion. CoRR Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amirhossein Habibian, Auke J. Wiggers
2024	A	`conf`	MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. WACV 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
2023	A	`conf`	A neural video codec with spatial rate-distortion control. WACV Noor Fathima Ghouse, Jens Petersen, Guillaume Sautière, Auke J. Wiggers, Reza Pourreza
2023	A	`conf`	Boosting neural video codecs by exploiting hierarchical redundancy. WACV Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautière, Auke J. Wiggers
2023	J	`jnl`	Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set. Trans. Mach. Learn. Res. Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Auke J. Wiggers, Taco Cohen
2023	J	`jnl`	MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device. CoRR 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
2023	J	`jnl`	Neural Image Compression with a Diffusion-Based Decoder. CoRR Noor Fathima Ghouse, Jens Petersen, Auke J. Wiggers, Tianlin Xu, Guillaume Sautière
2022	J	`jnl`	Boosting neural video codecs by exploiting hierarchical redundancy. CoRR Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautière, Auke J. Wiggers
2022	A	`conf`	GameCodec: Neural Cloud Gaming Video Codec. BMVC Hoang Le, Reza Pourreza, Amir Said, Guillaume Sautière, Auke J. Wiggers
2022	J	`jnl`	MobileCodec: Neural Inter-frame Video Compression on Mobile Devices. CoRR Hoang Le, Liang Zhang, Amir Said, Guillaume Sautière, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke J. Wiggers
2022	A	`conf`	MobileCodec: neural inter-frame video compression on mobile devices. MMSys Hoang Le, Liang Zhang, Amir Said, Guillaume Sautière, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke J. Wiggers
2020	B	`conf`	Evolutionary Algorithm with Non-parametric Surrogate Model for Tensor Program optimization. CEC Ioannis Gatopoulos, Romain Lepert, Auke J. Wiggers, Giovanni Mariani, Jakub M. Tomczak
2020	C	`conf`	Parallelized Rate-Distortion Optimized Quantization Using Deep Learning. MMSP Dana Kianfar, Auke J. Wiggers, Amir Said, Reza Pourreza, Taco Cohen
2020	J	`jnl`	Parallelized Rate-Distortion Optimized Quantization Using Deep Learning. CoRR Dana Kianfar, Auke J. Wiggers, Amir Said, Reza Pourreza, Taco Cohen
2020	A*	`conf`	Predictive Sampling with Forecasting Autoregressive Models. ICML Auke J. Wiggers, Emiel Hoogeboom
2020	J	`jnl`	Predictive Sampling with Forecasting Autoregressive Models. CoRR Auke J. Wiggers, Emiel Hoogeboom
2019	J	`jnl`	Simulating Execution Time of Tensor Programs using Graph Neural Networks. CoRR Jakub M. Tomczak, Romain Lepert, Auke J. Wiggers
2018	J	`jnl`	Risk-averse Behavior Planning for Autonomous Driving under Uncertainty. CoRR Mohammad Naghshvar, Ahmed K. Sadek, Auke J. Wiggers
2016	A	`conf`	Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information. ECAI Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers
2016	J	`jnl`	Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information. CoRR Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers
2013	—	`conf`	Discovering reoccurring motifs to predict opponent behavior. ICAR Auke J. Wiggers, Arnoud Visser