Navaneet K. L.

Orcid: 0000-0002-2420-3684

Affiliations:
  • Indian Institute of Science, Bengaluru, India


According to our database1, Navaneet K. L. authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
GeNIe: Generative Hard Negative Images Through Diffusion.
CoRR, 2023

SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers.
CoRR, 2023

2022
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation.
CoRR, 2022

Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation.
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.
IEEE Trans. Inf. Forensics Secur., 2020

From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks.
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.
Proceedings of the IEEE International Conference on Acoustics, 2019

DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Sequential Multi-camera Feature Fusion for Person Re-identification.
CoRR, 2018

3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image.
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.
Proceedings of the British Machine Vision Conference 2018, 2018


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