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Le professeur Derek Nowrouzezahrai appartient au département de génie électrique et informatique et est le directeur du laboratoire de graphisme et d'imagerie au Centre de Recherche sur les Machines Intelligentes. Il est actuellement directeur du Centre de Recherche sur les Machines Intelligentes.
2023
Y. Guan, A. Chubarau, R. Rao, and D. Nowrouzezahrai, “Learning neural implicit representations with surface signal parameterizations”. Comput. Graph., 114: 257–264. 2023.
A. Spielberg, F. Zhong, K. Rematas, K.M. Jatavallabhula, C. Öztireli, T. Li, and D. Nowrouzezahrai, “Differentiable visual computing for inverse problems and machine learning”. Nat. Mac. Intell., 5(11): 1189–1199. 2023.
C. Beckham, M. Weiss, F. Golemo, S. Honari, D. Nowrouzezahrai, and C. Pal, “Visual question answering from another perspective: CLEVR mental rotation tests”. Pattern Recognit., 136: 109209. 2023.
Z. Liu, Y. Feng, M.J. Black, D. Nowrouzezahrai, L. Paull, and W. Liu, “MeshDiffusion: Score-based Generative 3D Mesh Modeling”. In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023. OpenReview.net
W. Chang, V. Sivaram, D. Nowrouzezahrai, T. Hachisuka, R. Ramamoorthi, and T. Li, “Parameter-space ReSTIR for Differentiable and Inverse Rendering”. In Brunvand, E.; Sheffer, A.; and Wimmer, M., editor(s), ACM SIGGRAPH 2023 Conference Proceedings, SIGGRAPH 2023, Los Angeles, CA, USA, August 6-10, 2023, pages 18:1–18:10, 2023. ACM
S. Datta, C.S. Marshall, Z. Dong, Z. Li, and D. Nowrouzezahrai, In J. Kim, M.C. Lin, and B. Bickel, editor(s), “Efficient Graphics Representation with Differentiable Indirection”. SIGGRAPH Asia 2023 Conference Papers, SA 2023, Sydney, NSW, Australia, December 12-15, 2023, pages 104:1–104:10, 2023. ACM
C. Beckham, M. Weiss, F. Golemo, S. Honari, D. Nowrouzezahrai, and C. Pal, “Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests”. Journal of Pattern Recognition. 2023.
C. Beckham, I.H. Laradji, P. RodrĂguez, D. Vázquez, D. Nowrouzezahrai, and C.J. Pal, “Overcoming challenges in leveraging GANs for few-shot data augmentation”. Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:255-280, 2023.
Y. Guan, A. Chubarau, R. Rao, and D. Nowrouzezahrai, “Learning Neural Implicit Representations with Surface Signal Parameterizations”. Technical Poster Presentation at the i3D Symposium for Interactive Techniques in Graphics and Games, 2023.
E. Ciklabakkal, A. Gruson, I. Georgiev, D. Nowrouzezahrai, and T. Hachisuka, “Single-pass stratified importance resampling”. Comput. Graph. Forum, 41(4): 41–49. 2023.
Z. Majercik, T. Müller, A. Keller, D. Nowrouzezahrai, and M. McGuire, “Dynamic Diffuse Global Illumination Resampling”. Comput. Graph. Forum, 41(1): 158–171. 2023.
D. Nowrouzezahrai, J. Gauthier, M. Bourgey, J. Ghosn, and G. Lajoie, “Mila's Implications of LLM Tools in Research”. (December 2023)
M. Daley, D. Castle, Z. Jarny, D. Nowrouzezahrai, A. Van Robot, V. Lariviere, C. Dean, R. Isnor, R. Parker, M. Lam, A. Woodley, K. McDowell, “Ad hoc Generative Artificial Intelligence Panel Draft Advice to Federal Funding Agencies”. (December 2023)
S. Datta, D. Nowrouzezahrai, C. Schied, and Z. Dong, “Neural Shadow Mapping”. CoRR, abs/2301.05262. 2023.
Z. Liu, Y. Feng, M.J. Black, D. Nowrouzezahrai, L. Paull, and W. Liu, “MeshDiffusion: Score-based Generative 3D Mesh Modeling”. CoRR, abs/2303.08133. 2023.
P. Barde, J. Foerster, D. Nowrouzezahrai, and A. Zhang, “A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem”. CoRR, abs/2305.17198. 2023.
H. Otsu, J. Hanika, K. Herveau, D. Nowrouzezahrai, and C. Dachsbacher, “Regional Adaptive Metropolis Light Transport”. CoRR, abs/2308.07419. 2023.
S. Datta, C.S. Marshall, Z. Dong, Z. Li, and D. Nowrouzezahrai, “Efficient Graphics Representation with Differentiable Indirection”. CoRR, abs/2309.08387. 2023.
Y. Lee, P. Huang, K.M. Jatavallabhula, A.Z. Li, F. Damken, E. Heiden, K. Smith, D. Nowrouzezahrai, F. Ramos, and F. Shkurti, “STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent”. CoRR, abs/2310.01775. 2023.
D. Bairamian, P. Marcotte, J. Romoff, G. Robert, and D. Nowrouzezahrai, “Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play”. CoRR, abs/2311.17190. 2023.
A. Spielberg, F. Zhong, K. Rematas, K.M. Jatavallabhula, C. Öztireli, T. Li, and D. Nowrouzezahrai, “Differentiable Visual Computing for Inverse Problems and Machine Learning”. CoRR, abs/2312.04574. 2023.
C. Beckham, M. Weiss, F. Golemo, S. Honari, D. Nowrouzezahrai and C. Pal, “Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests”. CoRR, abs/2212.01639. 2023.
J. Subramanian, Y. Annadani, I. Sheth, N.R. Ke, T. Deleu, S. Bauer, D. Nowrouzezahrai, and S.E. Kahou, “Learning Latent Structural Causal Models”. CoRR, abs/2210.13583. 2023.
E.J. Smith, M. Drozdzal, D. Nowrouzezahrai, D. Meger, A. and Romero-Soriano, “Uncertainty-Driven Active Vision for Implicit Scene Reconstruction”. CoRR, abs/2210.00978. 2023.
J. Subramanian, Y. Annadani, I. Sheth, S. Bauer, D. Nowrouzezahrai, and S.E. Kahou, “Latent Variable Models for Bayesian Causal Discovery”. CoRR, abs/2207.05723. 2023.
2022
Yanran Guan et al. “Learning neural implicit representations with surface signal parameterizations”. In: i3D Symposium for Interactive Techniques in Graphics and Games (2023).
Jithendaraa Subramanian et al. “Learning Latent Structural Causal Models”. In: International Conference on Machine Learning, Workshop on Spurious Correlations, Invariance and Stability (2022).
Mattie Tesfaldet, Derek Nowrouzezahrai, and Chris Pal. “Attention-based Neural Cellular Automata”. In: Advances in Neural Information Processing Systems 35 (2022), pp. 8174–8186.
Christopher Beckham et al. “Overcoming challenges in leveraging GANs for few-shot data augmentation”. In: arXiv preprint arXiv:2203.16662 (2022).
Zihan Yu et al. “Efficient Differentiation of Pixel Reconstruction Filters for Path-Space Differentiable Rendering”. In: ACM Transactions on Graphics (TOG) 41.6 (2022), pp. 1–16.
Damien Rioux-Lavoie et al. “A Monte Carlo Method for Fluid Simulation”. In: ACM Transactions on Graphics (TOG) 41.6 (2022), pp. 1– 16.
Sayantan Datta et al. “Neural Shadow Mapping”. In: ACM SIGGRAPH 2022 Conference Proceedings. 2022, pp. 1–9.
Amir Hossein Rabbani et al. “Compact Poisson Filters for Fast Fluid Simulation”. In: ACM SIGGRAPH 2022 Conference Proceedings. 2022, pp. 1–9.
Ege Ciklabakkal et al. “Single-pass stratified importance resampling”. In: Computer Graphics Forum. Vol. 41. 4. 2022, pp. 41–49.
Zander Majercik et al. “Dynamic Diffuse Global Illumination Resampling”. In: ACM SIGGRAPH 2021 Talks. 2021, pp. 1–2.
Klaus Greff et al. “Kubric: A scalable dataset generator”. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, pp. 3749–3761.
Christopher Beckham et al. “Visual question answering from another perspective: CLEVR mental rotation tests”. In: Pattern Recognition 136 (2023), p. 109209.
Jithendaraa Subramanian et al. “Latent Variable Models for Bayesian Causal Discovery”. In: arXiv preprint arXiv:2207.05723 (2022).
Christopher Beckham et al. “Challenges in leveraging GANs for few-shot data augmentation”. In: arXiv e-prints (2022), arXiv– 2203.
2021
E. Tseng, A. Mosleh, F. Mannan, K.S. Arnaud, A. Sharma, Y. Peng, A. Braun, D. Nowrouzezahrai, J. Lalonde, and F. Heide. “Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design,” ACM Trans. Graph., 40(2): 18:1–18:19. 2021.
T. Takikawa, J. Litalien, K. Yin, K. Kreis, C. Loop, D. Nowrouzezahrai, A. Jacobson, M. McGuire, and S. Fidler. “Neural Geometric Level of Detail: Real- Time Rendering With Implicit 3D Shapes,” In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, pages 11358–11367, 2021. Computer Vision Foundation / IEEE
I.H. Laradji, P. RodrĂguez, D. Vázquez, and D. Nowrouzezahrai. “SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction,” In IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, BC, Canada, October 11-17, 2021, pages 1427–1436, 2021. IEEE
W. Jeon, C. Su, P. Barde, T. Doan, D. Nowrouzezahrai, and J. Pineau. “Regularized Inverse Reinforcement Learning,” In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021. OpenReview.net
J.K. Murthy, M. Macklin, F. Golemo, V. Voleti, L. Petrini, M. Weiss, B. Considine, J. Parent-Lévesque, K. Xie, K, Erleben, L. Paull, F. Shkurti, D. Nowrouzezahrai, and S. Fidler. “gradSim: Differentiable simulation for system identification and visuomotor control,” In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021. OpenReview.net
K. Villeneuve, A. Gruson, I. Georgiev, and D. Nowrouzezahrai, In A. Bousseau, and M. McGuire, editor(s), “Practical Product Sampling for Single Scattering in Media,” 32nd Eurographics Symposium on Rendering, EGSR 2021 - Digital Library Only Track, Saarbrücken, Germany, June 29 - July 2, 2021, pages 55–60, 2021. Eurographics Association
Z. Majercik, T. Müller, A. Keller, D. Nowrouzezahrai, and M. McGuire. “Dynamic Diffuse Global Illumination Resampling,” In SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Talks, Virtual Event, USA, August 9-13, 2021, pages 24:1–24:2, 2021. ACM
I.H. Laradji, P. RodrĂguez, O. Mañas, K. Lensink, M. Law, L. Kurzman, W. Parker, D. Vázquez, and D. Nowrouzezahrai. “A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images,” In IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Waikoloa, HI, USA, January 3-8, 2021, pages 2452–2461, 2021. IEEE
P. Barde, T. Karch, D. Nowrouzezahrai, C. Moulin- Frier, C.J. Pal, and P. Oudeyer. “Learning to Guide and to be Guided in the Architect-Builder Problem,” In 10th International Conference on Learning Representations, ICLR 2022, Virtual Event, 2022. OpenReview.net
T. Takikawa, J. Litalien, K. Yin, K. Kreis, C. Loop, D. Nowrouzezahrai, A. Jacobson, M. McGuire, and S. Fidler. “Neural Geometric Level of Detail: Realtime Rendering with Implicit 3D Shapes,” CoRR, abs/2101.10994. 2021.
F.G. Harvey, M. Yurick, D. Nowrouzezahrai, and C.J. Pal. “Robust Motion In-betweening,” CoRR, abs/2102.04942. 2021.
T. Kim, H.E. Rushmeier, J. Dorsey, D. Nowrouzezahrai, R. Syed, W. Jarosz, and A.M. Darke. “Countering Racial Bias in Computer Graphics Research,” CoRR, abs/2103.15163. 2021.
K.M. Jatavallabhula, M. Macklin, F. Golemo, V. Voleti, L. Petrini, M. Weiss, B. Considine, J. Parent- Lévesque, K. Xie, K. Erleben, L. Paull, F. Shkurti, D. Nowrouzezahrai, and S. Fidler. “gradSim: Differentiable simulation for system identification and visuomotor control,” CoRR, abs/2104.02646. 2021.
Z. Majercik, T. Müller, A. Keller, D. Nowrouzezahrai, and M. McGuire. “Dynamic Diffuse Global Illumination Resampling,” CoRR, abs/2108.05263. 2021.
I.H. Laradji, P. RodrĂguez, D. Vázquez, and D. Nowrouzezahrai. “SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction,” CoRR, abs/2108.09593. 2021.
P. Barde, T. Karch, D. Nowrouzezahrai, C. Moulin- Frier, C.J. Pal, and P. Oudeyer. “Learning to Guide and to Be Guided in the Architect-Builder Problem,” CoRR, abs/2112.07342. 2021.
2020
Local Bases for Model-reduced Smoke Simulations. Mercier, O.; and Nowrouzezahrai, D. Comput. Graph. Forum, 39(2): 9–22. 2020.
An Efficient Transport Estimator for Complex Layered Materials. Gamboa, L. E.; Gruson, A.; and Nowrouzezahrai, D. Comput. Graph. Forum, 39(2): 363–371. 2020.
Practical Product Path Guiding Using Linearly Transformed Cosines. Diolatzis, S.; Gruson, A.; Jakob, W.; Nowrouzezahrai, D.; and Drettakis, G. Comput. Graph. Forum, 39(4): 23–33. 2020.
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation. Rajeswar, S.; Mannan, F.; Golemo, F.; Parent-Lévesque, J.; Vázquez, D.; Nowrouzezahrai, D.; and Courville, A. C. Int. J. Comput. Vis., 128(10): 2478–2493. 2020.
Delayed Rejection Metropolis Light Transport. Rioux-Lavoie, D.; Litalien, J.; Gruson, A.; Hachisuka, T.; and Nowrouzezahrai, D. ACM Trans. Graph., 39(3): 26:1–26:14. 2020.
Directional sources and listeners in interactive sound propagation using reciprocal wave field coding. Chaitanya, C. R. A.; Raghuvanshi, N.; Godin, K. W.; Zhang, Z.; Nowrouzezahrai, D.; and Snyder, J. M. ACM Trans. Graph., 39(4): 44. 2020.
Robust motion in-betweening. Harvey, F. G.; Yurick, M.; Nowrouzezahrai, D.; and Pal, C. J. ACM Trans. Graph., 39(4): 60. 2020.
VoronoiNet : General Functional Approximators with Local Support. Williams, F.; Parent-Lévesque, J.; Nowrouzezahrai, D.; Panozzo, D.; Yi, K. M.; and Tagliasacchi, A. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020, pages 1069–1073, 2020. IEEE
Using Speech Synthesis to Train End-To-End Spoken Language Understanding Models. Lugosch, L.; Meyer, B. H.; Nowrouzezahrai, D.; and Ravanelli, M. In 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020, pages 8499–8503, 2020. IEEE
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. Barde, P.; Roy, J.; Jeon, W.; Pineau, J.; Pal, C.; and Nowrouzezahrai, D. In Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.; and Lin, H., editor(s), Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020.
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning. Roy, J.; Barde, P.; Harvey, F. G.; Nowrouzezahrai, D.; and Pal, C. In Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.; and Lin, H., editor(s), Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020.
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic. Jeon, W.; Barde, P.; Nowrouzezahrai, D.; and Pineau, J. CoRR, abs/2002.10525. 2020. Published in the AAAI Workshop on Reinforcement Learning in Games (AAAI RLG)
gradSim: Differentiable simulation for system identification and visuomotor control. Krishna Murthy, Jatavallabhula, Macklin, Miles, Golemo, Florian, Voleti, Vikram, Petrini, Linda, Weiss, Martin, Considine, Breandan, Parent-Levesque, Jerome, Xie, Kevin, Erleben, Kenny, Paull, Liam, Shkurti, Florian, Nowrouzezahrai, Derek and Fidler, Sanja. Proc. International Conference on Learning Representations (ICLR). 2021.
Regularized Inverse Reinforcement Learning. Jeon, W.; Su, C.; Barde, P.; Doan, T.; Nowrouzezahrai, D.; and Pineau, J. Proc. International Conference on Learning Representations (ICLR). 2021. Spotlight Paper Presentation.
Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design. Ethan Tseng, Ali Mosleh, Fahim Mannan, Karl St-Arnaud, Avinash Sharma, Yifan Peng, Alexander Braun, Derek Nowrouzezahrai, Jean-François Lalonde, and Felix Heide. ACM Trans. Graph., 39(3): 26:1–26:14. 2020.
Pix2Shape - Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation. Rajeswar, S.; Mannan, F.; Golemo, F.; Parent-Lévesque, J.; Vázquez, D.; Nowrouzezahrai, D.; and Courville, A. C. CoRR, abs/2003.14166. 2020.
Surprisal-Triggered Conditional Computation with Neural Networks. Lugosch, L.; Nowrouzezahrai, D.; and Meyer, B. H. CoRR, abs/2006.01659. 2020.
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. Barde, P.; Roy, J.; Jeon, W.; Pineau, J.; Pal, C. J.; and Nowrouzezahrai, D. CoRR, abs/2006.13258. 2020.
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. Laradji, I. H.; RodrĂguez, P.; Mañas, O.; Lensink, K.; Law, M.; Kurzman, L.; Parker, W.; Vázquez, D.; and Nowrouzezahrai, D. CoRR, abs/2007.02180. 2020.
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. Laradji, I. H.; RodrĂguez, P.; Branchaud-Charron, F.; Lensink, K.; Atighehchian, P.; Parker, W.; Vázquez, D.; and Nowrouzezahrai, D. CoRR, abs/2007.07012. 2020.
Overfit Neural Networks as a Compact Shape Representation. Davies, T.; Nowrouzezahrai, D.; and Jacobson, A. CoRR, abs/2009.09808. 2020.
Regularized Inverse Reinforcement Learning. Jeon, W.; Su, C.; Barde, P.; Doan, T.; Nowrouzezahrai, D.; and Pineau, J. CoRR, abs/2010.03691. 2020.
Affinity LCFCN: Learning to Segment Fish with Weak Supervision. Laradji, I. H.; Saleh, A.; RodrĂguez, P.; Nowrouzezahrai, D.; Azghadi, M. R.; and Vázquez, D. CoRR, abs/2011.03149. 2020.
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes. Takikawa, T.; Litalien, J.; Yin, K.; Kreis, K.; Loop, C.; Nowrouzezahrai, D.; Jacobson, A.; McGuire, M.; and Fidler, S. CoRR, abs/2101.10994. 2021.
2019
Iliyan Georgiev, Zackary Misso, Toshiya Hachisuka, Derek Nowrouzezahrai, Jaroslav Krivanek, Wojciech Jarosz. “Integral formulations of volumetric transmittance”. ACM Transactions on Graphics - Proceedings of the SIGGRAPH Asia Annual Conference. (Nov. 2019). 17 pages.
Dario Seyb, Alec Jacobson, Derek Nowrouzezahrai, Wojciech Jarosz. “Non-linear sphere tracing for rendering deforming”. ACM Transactions on Graphics - Proceedings of the SIGGRAPH Asia Annual Conference. (Nov. 2019). 12 pages.
Ethan Tseng, Felix Yu, Yuting Yang, Fahim Manan, Karl St. Arnaud, Derek Nowrouzezahrai, Jean-Francois Lalonde, Felix Heide. “Hyperparameter Optimization in Black-box Imaging”. ACM Transactions on Graphics - Proceedings of the SIGGRAPH Annual Conference. (Aug. 2019). 14 pages.
Sebastian Herholz, Yangyang Zhao, Oskar Elek, Derek Nowrouzezahrai, Hendrik Lensch and Jaroslav Krivanek. “Volume Path Guiding using Zero-variance Random Walk Theory”. ACM Transaction on Graphics - Presented at SIGGRAPH Annual Conference. 19 pages.
Joey Litalien, Damien Rioux-Lavoie, Adrien Gruson, Toshiya Hachisuka, Derek Nowrouzezahrai. “Delayed Rejection Metropolis Light Transport”. ACM Transactions on Graphics (December 2019). 14 pages.
Luis Eduardo Gamboa, Adrien Gruson and Derek Nowrouzezahrai. “A Lightweight, Efficient Transport Estimator in Layered Materials”. Computer Graphics Journal - Proceedings of the Eurographics Annual Conference (December 2019). 10 pages.
Olivier Mercier and Derek Nowrouzezahrai.”Local Bases for Model-reduced Smoke Simulations”. Computer Graphics Journal - Proceedings of the Eurographics Annual Conference (December 2019). 12 pages.
Binh-Son Hua, Adrien Gruson, Victor Petitjean, Matthias Zwicker, Derek Nowrouzezahrai, Elmar Eisemann and Toshiya Hachisuka. “A Survey on Gradient-domain Rendering”. Eurographics State-of-the-art Reports. Presented at the Eurographics Annual Conference (April 2019). 16 pages.
Chakravarty Alla Reddy Chaitanya, John Snyder, Keith Godin, Derek Nowrouzezahrai and Nikunj Raghuvanshi. “Adaptive Sampling for Sound Propagation”. IEEE Transactions on Visualization and Computer Graphics Journal - Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR; March 2019). 10 pages.
Daniel Holden, Bang Chi Duong, Sayantan Datta, Derek Nowrouzezahrai. “Subspace Neural Physics: Fast Data-Driven Interactive Simulation”. Proceedings of the ACM/SIGGRAPH Symposium on Computer Animation. (April 2019). 10 pages.
Nicolas Vibert, Adrien Gruson, Heine Stokholm, Troels Mortensen, Wojciech Jarosz, Toshiya Hachisuka, Derek Nowrouzezahrai. “Scalable Virtual Ray Lights Rendering for Participating Media”. Computer Graphics Journal - Proceedings of the Eurographics Symposium on Rendering. (June 2019). 10 pages.
Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson. “Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer”. Proceedings of the International Conference on Learning Representations. (Jul. 2019). 18 pages.
Adrien Dubouchet, Peter-Pike Sloan, Wojciech Jarosz, Derek Nowrouzezahrai. “Impulse responses for precomputing light from volumetric media”. Proceedings of the Eurographics Symposium on Rendering. (June 2019). 11 pages.
Yue Wang, Soufiane Khiat, Paul Kry, Derek Nowrouzezahrai. “Fast Non-uniform Radiance Probe Placement” Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. (June 2019). 10 pages. Best Student Paper Award Winner.
Zander Majercik, Jean-Philippe Guertin, Derek Nowrouzezahrai, Morgan McGuire “Dynamic Diffuse Global Illumination with Ray-traced Irradiance Fields”. Journal of Computer Graphics Techniques - Presented at the ACM/SIGGRAPH Symposium on Interactive 3D Graphics and Games. (March 2019). 12 pages. Best Presentation Award Winner.
Julien Roy, Paul Barde, Felix G. Harvey, Derek Nowrouzezahrai, Christopher Pal. “Promoting Coordination through Policy Regularization in Multi-agent Reinforcement Learning”. Proceedings of the Multi-disciplinary Conference on Reinforcement Learning and Decision Making. (July 2019). 16 pages.
David Milaenen, Laurent Belcour, Jean-Philippe Guertin, Toshiya Hachisuka, Derek Nowrouzezahrai. “A Frequency Analysis and Dual Hierarchy for Efficient Rendering of Subsurface Scattering”. Proceedings of the Graphics Interface Conference. (Nov. 2019). Best Paper Award Winner.
Julien Roy, Paul Barde, Felix G. Harvey, Derek Nowrouzezahrai, Christopher Pal. “Coordinating Multi-agent Reinforcement Learning”. The Montreal Symposium on Artificial Intelligence. (Oct. 2019). 12 pages.
Yangyang Zhao, Laurent Belcour, Derek Nowrouzezahrai. “View-dependent Radiance Caching”. Proceedings of the Graphics Interface Conference. (Nov. 2019). 11 pages.
Ethan Tseng, Felix Yu, Yuting Yang, Fahim Manan, Karl St. Arnaud, Derek Nowrouzezahrai, Jean-Francois Lalonde, Felix Heide. “Optimizating Black-box Imaging Hyperparameter Search”. The Montreal Symposium on Artificial Intelligence. (Oct. 2019). 10 pages.
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira E. Kahou, Joseph P. Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Christopher Pal. “Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments”. Proceedings of the Third Conference on Robot Learning. (Nov. 2019). 14 pages.
Sai Rajeswar, Jerome Parent-Levesque, Fahim Mannan, Florian Golemo, David Vazquez, Derek Nowrouzezahrai, Aaron Courville. “Unsupervised Learning of 3D Scenes from Images using a View-based Representation”. International Journal on Computer Vision - Proceedings of the Special Issue on Generative Adversarial Networks. (Dec. 2019). 16 pages.
Wonseok Jeon, Paul Barde, Joelle Pineau and Derek Nowrouzezahrai. “Scalable and Sample-Efficient Multi-Agent Imitation Learning”. Proceedings of the AAAI 2020 Workshop on Reinforcement Learning in Games. (Dec. 2019). 8 pages.
Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo and Derek Nowrouzezahrai. “Robo-PlaNet: Learning to Poke in a Day”. Arxiv Preprint. (Nov. 2019). 4 pages.
Sai Rajeswar, Fahim Mannan, Florian Golemo, David Vazquez, Derek Nowrouzezahrai, Aaron Courville. “Pix2Scene: Learning Implicit 3D Representations from Images”. Arxiv Preprint. (Nov. 2019). 16 pages.
Deep Learning Applications for Realistic, Simulation-based Computer Graphics. Invited Researcher Tea Talk at Ubisoft Montreal. May 2019.
2018
Sebastian Herholz, Yangyang Zhao, Oskar Elek, Derek Nowrouzezahrai, Hendrik Lensch and Jaroslav Krivanek. “Volume Path Guiding using Zero-variance Random Walk Theory”. ACM Transaction on Graphics (November 2018).
Luis Eduardo Gamboa, Jean-Philippe Guertin and Derek Nowrouzezahrai. “Scalable Appearance Filtering for Complex Lighting Effects”. ACM Transaction on Graphics - Proceedings of the SIGGRAPH Asia Conference (Novermber 2018). 10 pages.
Binh-Son Hua, Adriend Gruson, Nicolas Vibert, Derek Nowrouzezahrai and Toshiya Hachisuka. “Gradient-domain Volumetric Photon Density Estimation”. ACM Transactions on Graphics - Proceedings of the SIGGRAPH Conference (August 2018). 12 pages.
Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai and Alec Jacobson. “Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer”. International Conference on Learning Representations (ICLR; December 2018). 16 pages.
Cyril Soler, Kartic Subr and Derek Nowrouzezahrai. “A Versatile Parameterization for Measured Material Manifolds”. Presented at the Eurographics International Conference - Computer Graphics Journal (April 2018), 10 pages
Binh-Son Hua, Adrien Gruson, Victor Petitjean, Matthias Zwicker, Derek Nowrouzezahrai, Elmar Eisemann and Toshiya Hachisuka. “A Survey on Gradient-domain Rendering”. Eurographics State-of-the-art Reports. Eurographics Association (December 2018). 16 pages.
Chakravarty Alla Reddy Chaitanya, John Snyder, Keith Godin, Derek Nowrouzezahrai and Nikunj Raghuvanshi. “Adaptive Sampling for Sound Propagation”. IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR; December 2018). 10 pages.
2017
Chakravarty Reddy Alla Chaitanya, Anton Kaplanyan, Christoph Schied, Marco Salvi, Aaron Lefohn, Derek Nowrouzezahrai, Timo Aila. “Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder”. ACM Transactions on Graphics - SIGGRAPH (Aug. 2017), 12 pages
Oliver Mercier, Yusufu Sulai, Kevin Mackenzie, Marina Zannoli, James Hillis, Derek Nowrouzezahrai, Douglas Lanman. “Fast Gaze-Contingent Optimal Decompositions for Multifocal Displays”. ACM Transactions on Graphics - SIGGRAPH Asia (Nov. 2017), 12 pages
Laurent Belcour, Ling-Qi Yan, Ravi Ramamoorthi, Derek Nowrouzezahrai. “Antialiasing Complex Global Illumination Effects in Path-space”. ACM Transactions on Graphics (Aug. 2017), 13 pages
Cyril Soler, Kartic Subr and Derek Nowrouzezahrai. “The BRDF Manifold”. Eurographics - Computer Graphics Journal (Dec. 2017), 12 pages
Binh-Son Hua, Adrien Gruson, Derek Nowrouzezahrai and Toshiya Hachisuka. “Gradient-Domain Photon Density Estimation”. Eurographics - Computer Graphics Journal (Sept. 2017), 12 pages
Toshiya Hachisuka, Iliyan Georgiev, Wojciech Jarosz, Jaroslav Krivanek, Derek Nowrouzezahrai. “Extended Path Integral Formulation for Volumetric Transportt”. ACM Eurographics Symposium on Rendering (June 2017), 12 pages
Renaud Adrien Dubouchet, Laurent Belcour and Derek Nowrouzezahrai. “Frequency Based Radiance Cache for Rendering Animations”. Eurographics Symposium on Rendering (June 2017), 11 pages
Xiaozhong Chen, Sheldon Andrews, Paul Kry and Derek Nowrouzezahrai. “Ballistic Shadow Art”. CHCSS Graphics Interface (Sept. 2017), 9 pages
Morgan McGuire, Michael Mara, Derek Nowrouzezahrai and David Luebke. “Real-Time Global Illumination using Precomputed Light Field Probes”. ACM Interactive 3D Graphics & Games (I3D) (May. 2017), 12 pages
Weilun Sun, Xin Sun, Nathan Carr, Derek Nowrouzezahrai and Ravi Ramamoorthi. “Gradient-Domain Vertex Connection and Merging”. ACM Eurographics Symposium on Rendering (June 2017), 12 pages
