Tom Joy

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Object Detectors

Top Venues

Publications

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)
Kemal Oksuz, Tom Joy, Puneet K. Dokania
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration. CVPR (2023)
Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection. CoRR (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)
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
Sample-dependent Adaptive Temperature Scaling for Improved Calibration. CoRR (2022)
Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, Siddharth Narayanaswamy
Learning Multimodal VAEs through Mutual Supervision. ICLR (2022)
Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, Siddharth Narayanaswamy, Tom Rainforth
Capturing Label Characteristics in VAEs. ICLR (2021)
Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, N. Siddharth
Learning Multimodal VAEs through Mutual Supervision. CoRR (2021)
Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, N. Siddharth, Tom Rainforth
Rethinking Semi-Supervised Learning in VAEs. CoRR (2020)