K L Navaneet
K L Navaneet
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3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image
P Mandikal, KL Navaneet, M Agarwal, RV Babu
British Machine Vision Conference, 2018
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision
KL Navaneet, P Mandikal, M Agarwal, RV Babu
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2018
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image
P Mandikal, KL Navaneet, RV Babu
The European Conference on Computer Vision (ECCV) Workshops, 2018
Multiple spectral peak tracking for heart rate monitoring from photoplethysmography signal during intensive physical exercise
KL Navaneet, PC Madhusudana, P Suresha, V Periyasamy, PK Ghosh
IEEE Signal Processing Letters 22 (12), 2391-2395, 2015
From image collections to point clouds with self-supervised shape and pose networks
KL Navaneet, A Mathew, S Kashyap, WC Hung, V Jampani, RV Babu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Differ: Moving beyond 3d reconstruction with differentiable feature rendering
K L Navaneet, P Mandikal, V Jampani, V Babu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
KL Navaneet, SA Koohpayegani, A Tejankar, H Pirsiavash
British Machine Vision Conference, 2021
Operator-in-the-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification
KL Navaneet, RK Sarvadevabhatla, S Shekhar, RV Babu, A Chakraborty
IEEE Transactions on Information Forensics and Security, 2019
Compact3d: Compressing gaussian splat radiance field models with vector quantization
KL Navaneet, KP Meibodi, SA Koohpayegani, H Pirsiavash
arXiv preprint arXiv:2311.18159, 2023
3D-Filmnet: Latent embedding matching for accurate and diverse 3D point cloud reconstruction from a single image. arXiv 2018
P Mandikal, KL Navaneet, M Agarwal, RV Babu
arXiv preprint arXiv:1807.07796, 0
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
KL Navaneet, SA Koohpayegani, A Tejankar, K Pourahmadi, ...
European Conference on Computer Vision, 2022
NOLA: Networks as linear combination of low rank random basis
SA Koohpayegani, KL Navaneet, P Nooralinejad, S Kolouri, H Pirsiavash
International Conference on Learning Representations, 2023
All for one: Frame-wise rank loss for improving video-based person re-identification
KL Navaneet, V Todi, RV Babu, A Chakraborty
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
GeNIe: Generative Hard Negative Images Through Diffusion
SA Koohpayegani, A Singh, KL Navaneet, H Jamali-Rad, H Pirsiavash
arXiv preprint arXiv:2312.02548, 2023
SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers
KL Navaneet, SA Koohpayegani, E Sleiman, H Pirsiavash
arXiv preprint arXiv:2310.02544, 2023
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