Puneet K. Dokania
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | MObI: Multimodal Object Inpainting Using Diffusion Models. | Alexandru Buburuzan, Anuj Sharma, John Redford, Puneet K. Dokania, Romain Mueller |
| 2025 | ICML | Mixture of Experts Made Intrinsically Interpretable. | Xingyi Yang, Constantin Venhoff, Ashkan Khakzar, Christian Schrder de Witt, Puneet K. Dokania, Adel Bibi, Philip Torr |
| 2024 | ECCV | Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. | Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania |
| 2024 | ECCV | Placing Objects in Context via Inpainting for Out-of-Distribution Segmentation. | Pau de Jorge, Riccardo Volpi, Puneet K. Dokania, Philip H. S. Torr, Grgory Rogez |
| 2024 | ECCV | On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines. | Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet K. Dokania |
| 2023 | AAAI | Query-Based Hard-Image Retrieval for Object Detection at Test Time. | Edward Ayers, Jonathan Sadeghi, John Redford, Romain Mueller, Puneet K. Dokania |
| 2023 | AAAI | Sample-Dependent Adaptive Temperature Scaling for Improved Calibration. | Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania |
| 2023 | CVPR | Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration. | Kemal Oksuz, Tom Joy, Puneet K. Dokania |
| 2023 | CVPR | Computationally Budgeted Continual Learning: What Does Matter? | Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi |
| 2023 | ICML | Graph Inductive Biases in Transformers without Message Passing. | Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim |
| 2022 | ECCV | An Impartial Take to the CNN vs Transformer Robustness Contest. | Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania |
| 2021 | AAAI | Using Hindsight to Anchor Past Knowledge in Continual Learning. | Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz |
| 2021 | AISTATS | Mirror Descent View for Neural Network Quantization. | Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania |
| 2021 | ICLR | Progressive Skeletonization: Trimming more fat from a network at initialization. | Pau de Jorge, Amartya Sanyal, Harkirat S. Behl, Philip H. S. Torr, Grgory Rogez, Puneet K. Dokania |
| 2021 | ICLR | No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks. | Shyamgopal Karthik, Ameya Prabhu, Puneet K. Dokania, Vineet Gandhi |
| 2021 | ICLR | How Benign is Benign Overfitting ? | Amartya Sanyal, Puneet K. Dokania, Varun Kanade, Philip H. S. Torr |
| 2020 | ECCV | GDumb: A Simple Approach that Questions Our Progress in Continual Learning. | Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania |
| 2020 | ICLR | Stable Rank Normalization for Improved Generalization in Neural Networks and GANs. | Amartya Sanyal, Philip H. S. Torr, Puneet K. Dokania |
| 2019 | ICCV | Proximal Mean-Field for Neural Network Quantization. | Thalaiyasingam Ajanthan, Puneet K. Dokania, Richard Hartley, Philip H. S. Torr |
| 2019 | ICCV | Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. | Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman |