Akshay Asthana
6 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (15) π Academic Marathon (12) π Interdisciplinary Bridge
π
Conference Polyglot
(5)
πΊοΈ
Taxonomy Completionist
(11)
π
Trend Setter
π
Conference Pioneer
β
The Questioner
(2)
Conferences
CVPR (2)
ECCV (1)
ICLR (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
neural network quantization
(1)
model compression
(1)
object detection
(1)
incremental learning
(1)
neural network optimization
(1)
face alignment
(1)
discriminative regression
(1)
edge computing
(1)
straight-through estimator
(1)
quantization-aware training
(1)
model updating
(1)
active appearance model
(1)
constrained local model
(1)
face fitting
(1)
response map
(1)
shape parameter
(1)
discriminative deformable model
(1)
cascade of regressor
(1)
Papers
Can We Predict Performance of Large Models across Vision-Language Tasks?
ICML 2025
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
ECCV 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
ICLR 2024
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks
WACV 2024
Incremental Face Alignment in the Wild
CVPR 2014
Robust Discriminative Response Map Fitting with Constrained Local Models
CVPR 2013