Vikas Chandra

papers

1,311

total citations

papers (10)

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

ICML 2024arXiv

195

citations

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

CVPR 2021arXiv

138

citations

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

CVPR 2021arXiv

116

citations

Fast Point Cloud Generation With Straight Flows

CVPR 2023arXiv

citations

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

CVPR 2024arXiv

citations

Efficient Track Anything

ICCV 2025arXiv

citations

EdgeTAM: On-Device Track Anything Model

CVPR 2025arXiv

citations

Vikas Chandra

papers (10)

SpinQuant: LLM Quantization with Learned Rotations

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Fast Point Cloud Generation With Straight Flows

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

Efficient Track Anything

EdgeTAM: On-Device Track Anything Model

papers (10)

SpinQuant: LLM Quantization with Learned Rotations

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Fast Point Cloud Generation With Straight Flows

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

Efficient Track Anything

EdgeTAM: On-Device Track Anything Model