Inverse mapping of face GANs. - Nicky Bayat; Vahid Reza Khazaie; Yalda Mohsenzadeh (CoRR, 2020)

Latent Vector Recovery of Audio GANs. - Andrew Keyes; Nicky Bayat; Vahid Reza Khazaie; Yalda Mohsenzadeh (CoRR, 2020)

IPU-Net: Multi Scale Identity-Preserved U-Net for Low Resolution Face Recognition. - Vahid Reza Khazaie; Nicky Bayat; Yalda Mohsenzadeh (CoRR, 2020)

Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection. - Nicky Bayat; Vahid Reza Khazaie; Andrew Keyes; Yalda Mohsenzadeh (Canadian AI, 2021)

Fast Inverse Mapping of Face GANs. - Nicky Bayat; Vahid Reza Khazaie; Yalda Mohsenzadeh (ICASSP, 2021)

OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection. - John Taylor Jewell; Vahid Reza Khazaie; Yalda Mohsenzadeh (CoRR, 2021)

Multi-Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition. - Vahid Reza Khazaie; Nicky Bayat; Yalda Mohsenzadeh (Canadian AI, 2022)

Anomaly Detection with Adversarially Learned Perturbations of Latent Space. - Vahid Reza Khazaie; Anthony Wong; John Taylor Jewell; Yalda Mohsenzadeh (CRV, 2022)

One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection. - John Taylor Jewell; Vahid Reza Khazaie; Yalda Mohsenzadeh (WACV, 2022)

Augment to Detect Anomalies with Continuous Labelling. - Vahid Reza Khazaie; Anthony Wong; Yalda Mohsenzadeh (CoRR, 2022)

Are Out-of-Distribution Detection Methods Reliable? - Vahid Reza Khazaie; Anthony Wong; Mohammad Sabokrou (CoRR, 2022)

Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning. - Shuvendu Roy; Yasaman Parhizkar; Franklin Ogidi; Vahid Reza Khazaie; Michael Colacci; Ali Etemad; Elham Dolatabadi; Arash Afkanpour (CoRR, 2024)

Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation. - Mohammad Akhavan Anvari; Rojina Kashefi; Vahid Reza Khazaie; Mohammad Khalooei; Mohammad Sabokrou (CoRR, 2024)

ViLBias: A Framework for Bias Detection using Linguistic and Visual Cues. - Shaina Raza; Caesar Saleh; Emrul Hasan; Franklin Ogidi; Maximus Powers; Veronica Chatrath; Marcelo Lotif; Roya Javadi; Anam Zahid; Vahid Reza Khazaie (CoRR, 2024)

Can Generative Models Improve Self-Supervised Representation Learning? - Sana Ayromlou; Vahid Reza Khazaie; Fereshteh Forghani; Arash Afkanpour (AAAI, 2025)

VLDBench: Vision Language Models Disinformation Detection Benchmark. - Shaina Raza; Ashmal Vayani; Aditya Jain; Aravind Narayanan; Vahid Reza Khazaie; Syed Raza Bashir; Elham Dolatabadi; Gias Uddin 001; Christos Emmanouilidis; Rizwan Qureshi; Mubarak Shah (CoRR, 2025)

Advancing Medical Representation Learning Through High-Quality Data. - Negin Baghbanzadeh; Adibvafa Fallahpour; Yasaman Parhizkar; Franklin Ogidi; Shuvendu Roy; Sajad Ashkezari; Vahid Reza Khazaie; Michael Colacci; Ali Etemad; Arash Afkanpour; Elham Dolatabadi (CoRR, 2025)

HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation. - Shaina Raza; Aravind Narayanan; Vahid Reza Khazaie; Ashmal Vayani; Mukund S. Chettiar; Amandeep Singh; Mubarak Shah; Deval Pandya (CoRR, 2025)

LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation. - Ananya Raval; Aravind Narayanan; Vahid Reza Khazaie; Shaina Raza (CoRR, 2025)