Search Results for author: K L Navaneet

Found 6 papers, 5 papers with code

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

1 code implementation CVPR 2024 K L Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash

We show that such models can be vulnerable to a universal adversarial patch attack where the attacker optimizes for a patch that when pasted on any image can increase the compute and power consumption of the model.

Adversarial Attack

GeNIe: Generative Hard Negative Images Through Diffusion

1 code implementation5 Dec 2023 Soroush Abbasi Koohpayegani, Anuj Singh, K L Navaneet, Hamed Pirsiavash, Hadi Jamali-Rad

To achieve this, we adjust the noise level (equivalently, number of diffusion iterations) to ensure the generated image retains low-level and background features from the source image while representing the target category, resulting in a hard negative sample for the source category.

Data Augmentation Image Generation

From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks

1 code implementation CVPR 2020 K L Navaneet, Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu

We learn both 3D point cloud reconstruction and pose estimation networks in a self-supervised manner, making use of differentiable point cloud renderer to train with 2D supervision.

3D Object Reconstruction From A Single Image 3D Point Cloud Reconstruction +2

Operator-in-the-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification

no code implementations19 Jul 2018 K L Navaneet, Ravi Kiran Sarvadevabhatla, Shashank Shekhar, R. Venkatesh Babu, Anirban Chakraborty

Therefore, target identifications by operator in a subset of cameras cannot be utilized to improve ranking of the target in remaining set of network cameras.

Person Re-Identification

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