Navaneet K. L.

According to our database, Navaneet K. L. authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

MoIN: Mixture of Introvert Experts to Upcycle an LLM.

Ajinkya Tejankar, Navaneet K. L., Ujjawal Panchal, Kossar Pourahmadi, Hamed Pirsiavash

CoRR, 2024

NOLA: Compressing LoRA using Linear Combination of Random Basis.

Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization.

K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

Proceedings of the Computer Vision - ECCV 2024, 2024

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

GeNIe: Generative Hard Negative Images Through Diffusion.

Soroush Abbasi Koohpayegani, Anuj Singh, K. L. Navaneet, Hadi Jamali Rad, 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

NOLA: Networks as Linear Combination of Low Rank Random Basis.

Soroush Abbasi Koohpayegani, K. L. Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

CoRR, 2023

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

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

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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification.

Navaneet K. L., Ravi Kiran Sarvadevabhatla, Shashank Shekhar, R. Venkatesh Babu, Anirban Chakraborty

IEEE Trans. Inf. Forensics Secur., 2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the IEEE International Conference on Acoustics, 2019

DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering.

Navaneet K. L., Priyanka Mandikal, Varun Jampani, R. Venkatesh Babu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision.

Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Sequential Multi-camera Feature Fusion for Person Re-identification.

Navaneet K. L., Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu, Anirban Chakraborty

CoRR, 2018

3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image.

Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

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

Proceedings of the British Machine Vision Conference 2018, 2018