| 2025 | ICCV | Amodal Depth Anything: Amodal Depth Estimation in the Wild. | Zhenyu Li, Mykola Lavreniuk, Jian Shi, Shariq Farooq Bhat, Peter Wonka |
| 2024 | CVPR | PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation. | Zhenyu Li, Shariq Farooq Bhat, Peter Wonka |
| 2024 | ECCV | EVP: Enhanced Visual Perception Using Inverse Multi-attentive Feature Refinement and Regularized Image-Text Alignment. | Mykola Lavreniuk, Shariq Farooq Bhat, Matthias Mller, Peter Wonka |
| 2024 | ECCV | PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation. | Zhenyu Li, Shariq Farooq Bhat, Peter Wonka |
| 2024 | ICLR | LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts. | Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer, Salman Khan, Peter Wonka |
| 2024 | SIGGRAPH | LOOSECONTROL: Lifting ControlNet for Generalized Depth Conditioning. | Shariq Farooq Bhat, Niloy J. Mitra, Peter Wonka |
| 2022 | ECCV | LocalBins: Improving Depth Estimation by Learning Local Distributions. | Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka |
| 2022 | WACV | Self-Supervised Learning of Domain Invariant Features for Depth Estimation. | Hiroyasu Akada, Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka |
| 2021 | CVPR | AdaBins: Depth Estimation Using Adaptive Bins. | Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka |