Krishnatheja Vanka
Applied Scientist · Machine Learning Engineer
Working at the intersection of research and production — training models, building ML systems, and closing the gap between experiment and deployment. Writing practical guides on applied ML, scientific computing, and the engineering decisions that make research actually ship.
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Welcome To My Blog
I’m thrilled to kick off this blog dedicated to exploring the fascinating world of computer vision — a field where machines learn to see, interpret, and…
112 articles
NewFCOS: Fully Convolutional One-Stage Object Detection
A Verbose Study Guide to arXiv:1904.01355
NewVL-Cache: A Technical Walkthrough
Sparsity- and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration
NewParameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
A section-by-section walkthrough of arXiv:2312.12148v1
New3D Gaussian Splatting for Real-Time Radiance Field Rendering
A Deep Technical Guide to Kerbl et al. (SIGGRAPH 2023)
Segment Anything (SAM)
A researcher-oriented walkthrough of arXiv:2304.02643 (Kirillov et al., Meta AI / FAIR, 2023)
Visual Instruction Tuning (LLaVA)
Paper: Visual Instruction Tuning Authors: Haotian Liu¹, Chunyuan Li², Qingyang Wu³, Yong Jae Lee¹ ¹University of Wisconsin–Madison, ²Microsoft Research,…
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