Ashish Kumar
19 papers · 2017–2026 · 9 venues · across top CS/AI venues
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Research topics
Keywords
self-supervised learning
(4)
reinforcement learning
(4)
model compression
(4)
novel view synthesis
(3)
quadruped robot
(3)
motor adaptation
(2)
contrastive learning
(2)
efficient computing
(2)
legged robot
(2)
gaussian splatting
(2)
legged locomotion
(2)
convolutional neural network
(2)
prototype learning
(1)
motion deblurring
(1)
adversarial robustness
(1)
image restoration
(1)
image classification
(1)
path planning
(1)
scene reconstruction
(1)
robot navigation
(1)
Papers
$L^{2}DGS$: Low-Light Dynamic Gaussian Splatting
CVPR 2026
Disco-GS: Gaussian Splatting in Dynamic Color Lighting
CVPR 2026
Improving CAPTCHA Robustness via Controlled Image Corruptions (Student Abstract)
AAAI 2026
Designing Concise ConvNets with Columnar Stages
ICLR 2025
DynaMoDe-NeRF: Motion-aware Deblurring Neural Radiance Field for Dynamic Scenes
CVPR 2025
HyILR: Hyperbolic Instance-Specific Local Relationships for Hierarchical Text Classification
ACL 2025
Semantic alignment in hyperbolic space for fine-grained emotion classification
ACL 2025
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
CVPR 2024
Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset
ICCV 2023
Coupling Vision and Proprioception for Navigation of Legged Robots
CVPR 2022
In-Hand Object Rotation via Rapid Motor Adaptation
CoRL 2022
Legged Locomotion in Challenging Terrains using Egocentric Vision
CoRL 2022
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots
CoRL 2021
RMA: Rapid Motor Adaptation for Legged Robots
RSS 2021
Learning Navigation Subroutines from Egocentric Videos
CoRL 2019
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
NeurIPS 2018
Visual Memory for Robust Path Following
NeurIPS 2018
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
ICML 2017
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
ICML 2017