Search Results - "Ravichandran, Avinash"

Training Domain Draft Models for Speculative Decoding: Best Practices and Insights

Hong, Fenglu, Raju, Ravi, Li, Jonathan Lingjie, Li, Bo, Thakker, Urmish, Ravichandran, Avinash, Jain, Swayambhoo, Hu, Changran

Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation

Bafghi, Reza Akbarian, Bagwell, Carden, Ravichandran, Avinash, Shrivastava, Ashish, Raissi, Maziar

CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning

Chen, Runjian, Zhang, Hang, Ravichandran, Avinash, Park, Hyoungseob, Shao, Wenqi, Wong, Alex, Luo, Ping

VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition

Zhang, Zaiwei, Meyer, Gregory P., Lu, Zhichao, Shrivastava, Ashish, Ravichandran, Avinash, Wolff, Eric M.

InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models

Saini, Nirat, Bodla, Navaneeth, Shrivastava, Ashish, Ravichandran, Avinash, Zhang, Xiao, Shrivastava, Abhinav, Singh, Bharat

GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR

Singh, Bharat, Kulharia, Viveka, Yang, Luyu, Ravichandran, Avinash, Tyagi, Ambrish, Shrivastava, Ashish

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

Jeong, Jongheon, Zou, Yang, Kim, Taewan, Zhang, Dongqing, Ravichandran, Avinash, Dabeer, Onkar

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

A Meta-Learning Approach to Predicting Performance and Data Requirements

Jain, Achin, Swaminathan, Gurumurthy, Favaro, Paolo, Yang, Hao, Ravichandran, Avinash, Harutyunyan, Hrayr, Achille, Alessandro, Dabeer, Onkar, Schiele, Bernt, Swaminathan, Ashwin, Soatto, Stefano

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Learning Expressive Prompting With Residuals for Vision Transformers

Das, Rajshekhar, Dukler, Yonatan, Ravichandran, Avinash, Swaminathan, Ashwin

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Class-Incremental Learning with Strong Pre-trained Models

Wu, Tz-Ying, Swaminathan, Gurumurthy, Li, Zhizhong, Ravichandran, Avinash, Vasconcelos, Nuno, Bhotika, Rahul, Soatto, Stefano

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Task Adaptive Parameter Sharing for Multi-Task Learning

Wallingford, Matthew, Li, Hao, Achille, Alessandro, Ravichandran, Avinash, Fowlkes, Charless, Bhotika, Rahul, Soatto, Stefano

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Your representations are in the network: composable and parallel adaptation for large scale models

Dukler, Yonatan, Achille, Alessandro, Yang, Hao, Vivek, Varsha, Zancato, Luca, Bowman, Benjamin, Ravichandran, Avinash, Fowlkes, Charless, Swaminathan, Ashwin, Soatto, Stefano

Mixed-Privacy Forgetting in Deep Networks

Golatkar, Aditya, Achille, Alessandro, Ravichandran, Avinash, Polito, Marzia, Soatto, Stefano

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning

Cai, Zhaowei, Ravichandran, Avinash, Maji, Subhransu, Fowlkes, Charless, Tu, Zhuowen, Soatto, Stefano

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

LQF: Linear Quadratic Fine-Tuning

Achille, Alessandro, Golatkar, Aditya, Ravichandran, Avinash, Polito, Marzia, Soatto, Stefano

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers

Jain, Achin, Lee, Kibok, Swaminathan, Gurumurthy, Yang, Hao, Schiele, Bernt, Ravichandran, Avinash, Dabeer, Onkar

Semi-supervised Vision Transformers at Scale

Cai, Zhaowei, Ravichandran, Avinash, Favaro, Paolo, Wang, Manchen, Modolo, Davide, Bhotika, Rahul, Tu, Zhuowen, Soatto, Stefano

Masked Vision and Language Modeling for Multi-modal Representation Learning

Kwon, Gukyeong, Cai, Zhaowei, Ravichandran, Avinash, Bas, Erhan, Bhotika, Rahul, Soatto, Stefano

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

Lee, Kibok, Yang, Hao, Chakraborty, Satyaki, Cai, Zhaowei, Swaminathan, Gurumurthy, Ravichandran, Avinash, Dabeer, Onkar

X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks

Cai, Zhaowei, Kwon, Gukyeong, Ravichandran, Avinash, Bas, Erhan, Tu, Zhuowen, Bhotika, Rahul, Soatto, Stefano