Puneet K. Dokania

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 59

Top Topics

Singly Connected

Rotational Invariant

Object Detectors

Video Processing

Top Venues

Publications

Pau de Jorge, Riccardo Volpi, Puneet K. Dokania, Philip H. S. Torr, Grégory Rogez
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation. CoRR (2024)
Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H. S. Torr, Amartya Sanyal, Puneet K. Dokania
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study. CoRR (2024)
Jishnu Mukhoti, Yarin Gal, Philip Torr, Puneet K. Dokania
Fine-tuning can cripple your foundation model; preserving features may be the solution. Trans. Mach. Learn. Res. 2024 (2024)
Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet K. Dokania
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines. CoRR (2024)
Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H. S. Torr, Ozan Sener, Puneet K. Dokania
RanDumb: A Simple Approach that Questions the Efficacy of Continual Representation Learning. CoRR (2024)
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi
Computationally Budgeted Continual Learning: What Does Matter? CoRR (2023)
Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh
Diagnosing and Preventing Instabilities in Recurrent Video Processing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Kemal Oksuz, Tom Joy, Puneet K. Dokania
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration. CVPR (2023)
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi
Computationally Budgeted Continual Learning: What Does Matter? CVPR (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. CoRR (2023)
Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr
Catastrophic overfitting can be induced with discriminative non-robust features. Trans. Mach. Learn. Res. 2023 (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. ICML (2023)
Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection. CoRR (2023)
Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. CoRR (2023)
Ameya Prabhu, Zhipeng Cai, Puneet K. Dokania, Philip H. S. Torr, Vladlen Koltun, Ozan Sener
Online Continual Learning Without the Storage Constraint. CoRR (2023)
Edward Ayers, Jonathan Sadeghi, John Redford, Romain Mueller, Puneet K. Dokania
Query-Based Hard-Image Retrieval for Object Detection at Test Time. AAAI (2023)
Kemal Oksuz, Tom Joy, Puneet K. Dokania
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration. CoRR (2023)
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration. AAAI (2023)
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim
Raising the Bar on the Evaluation of Out-of-Distribution Detection. ICCV (Workshops) (2023)
Jishnu Mukhoti, Yarin Gal, Philip H. S. Torr, Puneet K. Dokania
Fine-tuning can cripple your foundation model; preserving features may be the solution. CoRR (2023)
Pau de Jorge, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. CoRR (2022)
Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania
An Impartial Take to the CNN vs Transformer Robustness Contest. CoRR (2022)
Francesco Pinto, Harry Yang, Ser Nam Lim, Philip H. S. Torr, Puneet K. Dokania
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness. NeurIPS (2022)
Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania
An Impartial Take to the CNN vs Transformer Robustness Contest. ECCV (13) (2022)
Francesco Pinto, Harry Yang, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness. CoRR (2022)
Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip H. S. Torr
Catastrophic overfitting is a bug but also a feature. CoRR (2022)
Edward Ayers, Jonathan Sadeghi, John Redford, Romain Mueller, Puneet K. Dokania
Query-based Hard-Image Retrieval for Object Detection at Test Time. CoRR (2022)
Francisco Eiras, Motasem Alfarra, Philip H. S. Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi
ANCER: Anisotropic Certification via Sample-wise Volume Maximization. Trans. Mach. Learn. Res. 2022 (2022)
Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. NeurIPS (2022)
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
Sample-dependent Adaptive Temperature Scaling for Improved Calibration. CoRR (2022)
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim
Raising the Bar on the Evaluation of Out-of-Distribution Detection. CoRR (2022)
Shyamgopal Karthik, Ameya Prabhu, Puneet K. Dokania, Vineet Gandhi
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks. CoRR (2021)
Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania
Mirror Descent View for Neural Network Quantization. AISTATS (2021)
Botos Csaba, Xiaojuan Qi, Arslan Chaudhry, Puneet K. Dokania, Philip H. S. Torr
Multilevel Knowledge Transfer for Cross-Domain Object Detection. CoRR (2021)
Keyu Tian, Chen Lin, Ser-Nam Lim, Wanli Ouyang, Puneet K. Dokania, Philip H. S. Torr
A Continuous Mapping For Augmentation Design. NeurIPS (2021)
Shyamgopal Karthik, Ameya Prabhu, Puneet K. Dokania, Vineet Gandhi
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks. ICLR (2021)
Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz
Using Hindsight to Anchor Past Knowledge in Continual Learning. AAAI (2021)
Pau de Jorge, Amartya Sanyal, Harkirat S. Behl, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania
Progressive Skeletonization: Trimming more fat from a network at initialization. ICLR (2021)
Francisco Eiras, Motasem Alfarra, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem, Adel Bibi
ANCER: Anisotropic Certification via Sample-wise Volume Maximization. CoRR (2021)
Amartya Sanyal, Puneet K. Dokania, Varun Kanade, Philip H. S. Torr
How Benign is Benign Overfitting ? ICLR (2021)
Arslan Chaudhry, Naeemullah Khan, Puneet K. Dokania, Philip H. S. Torr
Continual Learning in Low-rank Orthogonal Subspaces. NeurIPS (2020)
Christian Schröder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Robert Zinkov, Puneet K. Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip H. S. Torr, Atilim Günes Baydin
Simulation-Based Inference for Global Health Decisions. CoRR (2020)
Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip H. S. Torr, Puneet K. Dokania
Calibrating Deep Neural Networks using Focal Loss. CoRR (2020)
Amartya Sanyal, Puneet K. Dokania, Varun Kanade, Philip H. S. Torr
How benign is benign overfitting? CoRR (2020)
Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh
Diagnosing and Preventing Instabilities in Recurrent Video Processing. CoRR (2020)
Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip H. S. Torr, Puneet K. Dokania
Calibrating Deep Neural Networks using Focal Loss. NeurIPS (2020)
Amartya Sanyal, Philip H. S. Torr, Puneet K. Dokania
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs. ICLR (2020)
Pau de Jorge, Amartya Sanyal, Harkirat S. Behl, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania
Progressive Skeletonization: Trimming more fat from a network at initialization. CoRR (2020)
Jishnu Mukhoti, Puneet K. Dokania, Philip H. S. Torr, Yarin Gal
On Batch Normalisation for Approximate Bayesian Inference. CoRR (2020)
Arslan Chaudhry, Naeemullah Khan, Puneet K. Dokania, Philip H. S. Torr
Continual Learning in Low-rank Orthogonal Subspaces. CoRR (2020)
Daniela Massiceti, Viveka Kulharia, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr
A Revised Generative Evaluation of Visual Dialogue. CoRR (2020)
Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz
Using Hindsight to Anchor Past Knowledge in Continual Learning. CoRR (2020)
Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania
GDumb: A Simple Approach that Questions Our Progress in Continual Learning. ECCV (2) (2020)
Thalaiyasingam Ajanthan, Puneet K. Dokania, Richard Hartley, Philip H. S. Torr
Proximal Mean-Field for Neural Network Quantization. ICCV (2019)
Amartya Sanyal, Philip H. S. Torr, Puneet K. Dokania
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs. CoRR (2019)
Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania
Mirror Descent View for Neural Network Quantization. CoRR (2019)
Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. CoRR (2019)
Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. ICCV (2019)
Daniela Massiceti, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr
Visual Dialogue without Vision or Dialogue. CoRR (2018)