3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. - Priyanka Mandikal; Navaneet K. L.; Mayank Agarwal; Venkatesh Babu Radhakrishnan (BMVC, 2018)

3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image. - Priyanka Mandikal; Navaneet K. L.; R. Venkatesh Babu (ECCV Workshops (3), 2018)

Deep Sequential Multi-camera Feature Fusion for Person Re-identification. - Navaneet K. L.; Ravi Kiran Sarvadevabhatla; R. Venkatesh Babu; Anirban Chakraborty 001 (CoRR, 2018)

CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. - Navaneet K. L.; Priyanka Mandikal; Mayank Agarwal; R. Venkatesh Babu (AAAI, 2019)

DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering. - Navaneet K. L.; Priyanka Mandikal; Varun Jampani; R. Venkatesh Babu (CVPR Workshops, 2019)

All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification. - Navaneet K. L.; Vasudha Todi; R. Venkatesh Babu; Anirban Chakraborty 001 (ICASSP, 2019)

From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. - Navaneet K. L.; Ansu Mathew; Shashank Kashyap; Wei-Chih Hung; Varun Jampani; R. Venkatesh Babu (CVPR, 2020)

Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification. - Navaneet K. L.; Ravi Kiran Sarvadevabhatla; Shashank Shekhar 006; R. Venkatesh Babu; Anirban Chakraborty 001 (IEEE Trans. Inf. Forensics Secur., 2020)

Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (BMVC, 2021)

Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Kossar Pourahmadi; Akshayvarun Subramanya; Hamed Pirsiavash (ECCV (31), 2022)

SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (CoRR, 2022)

SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Essam Sleiman; Hamed Pirsiavash (CoRR, 2023)

NOLA: Networks as Linear Combination of Low Rank Random Basis. - Soroush Abbasi Koohpayegani; K. L. Navaneet; Parsa Nooralinejad; Soheil Kolouri; Hamed Pirsiavash (CoRR, 2023)

Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization. - K. L. Navaneet; Kossar Pourahmadi Meibodi; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (CoRR, 2023)

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Essam Sleiman; Hamed Pirsiavash (CVPR, 2024)

CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization. - K. L. Navaneet; Kossar Pourahmadi Meibodi; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (ECCV (32), 2024)

NOLA: Compressing LoRA using Linear Combination of Random Basis. - Soroush Abbasi Koohpayegani; Navaneet K. L.; Parsa Nooralinejad; Soheil Kolouri; Hamed Pirsiavash (ICLR, 2024)

MoIN: Mixture of Introvert Experts to Upcycle an LLM. - Ajinkya Tejankar; Navaneet K. L.; Ujjawal Panchal; Kossar Pourahmadi; Hamed Pirsiavash (CoRR, 2024)

Efficiency in Computer Vision: From Compute and Memory to Robustness - Navaneet K. L. (2024)

GeNIe: Generative Hard Negative Images Through Diffusion. - Soroush Abbasi Koohpayegani; Anuj Singh; Navaneet K. L.; Hamed Pirsiavash; Hadi Jamali Rad (Trans. Mach. Learn. Res., 2025)