Vahid Reza Khazaie

According to our database, Vahid Reza Khazaie authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation.

Ananya Raval, Aravind Narayanan, Vahid Reza Khazaie, Shaina Raza

CoRR, July, 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, May, 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, March, 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, Christos Emmanouilidis, Rizwan Qureshi, Mubarak Shah

CoRR, February, 2025

Can Generative Models Improve Self-Supervised Representation Learning?

Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani, Arash Afkanpour

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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

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

2022

Are Out-of-Distribution Detection Methods Reliable?

Vahid Reza Khazaie, Anthony Wong, Mohammad Sabokrou

CoRR, 2022

Augment to Detect Anomalies with Continuous Labelling.

Vahid Reza Khazaie, Anthony Wong, Yalda Mohsenzadeh

CoRR, 2022

One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection.

John Taylor Jewell, Vahid Reza Khazaie, Yalda Mohsenzadeh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Anomaly Detection with Adversarially Learned Perturbations of Latent Space.

Vahid Reza Khazaie, Anthony Wong, John Taylor Jewell, Yalda Mohsenzadeh

Proceedings of the 19th Conference on Robots and Vision, 2022

Multi-Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition.

Vahid Reza Khazaie, Nicky Bayat, Yalda Mohsenzadeh

Proceedings of the 35th Canadian Conference on Artificial Intelligence, 2022

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

Fast Inverse Mapping of Face GANs.

Nicky Bayat, Vahid Reza Khazaie, Yalda Mohsenzadeh

Proceedings of the IEEE International Conference on Acoustics, 2021

Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection.

Nicky Bayat, Vahid Reza Khazaie, Andrew Keyes, Yalda Mohsenzadeh

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

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.

Andrew Keyes, Nicky Bayat, Vahid Reza Khazaie, Yalda Mohsenzadeh

CoRR, 2020

Inverse mapping of face GANs.

Nicky Bayat, Vahid Reza Khazaie, Yalda Mohsenzadeh

CoRR, 2020