5 citations · 5 across the 9 of their papers we have counts for
11 papers
Not All Layers Need Tuning: Diagnosing and Directing Adaptation in Vision-Language-Action Models
Shahram Najam Syed, Arthur Jakobsson, Prayuj Sachdev +1
Fine-tuning a Vision-Language-Action (VLA) model for a new deployment environment is expensive, yet most methods apply uniform-capacity adapters to every network region as if every…
Hierarchical Skill Retrieval for Data-Efficient Adaptation of Vision-Language-Action Models
Haoran Hao, Shahram Najam Syed, Jeff Schneider +1
While Vision-Language-Action (VLA) models pretrained on large-scale robot datasets provide a strong foundation for robot manipulation, their performance can degrade when adapted to…
FAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement
Haoran Hao, Shahram Najam Syed, Jeffrey Ichnowski +1
Robot policies inevitably encounter failures when deployed in real environments. Naive retries often repeat the same mistakes, while many existing recovery methods rely on human in…
Intercepting the Future: Latent-Space Predictive World Model for Dynamic VLA Manipulation
Shahram Najam Syed, Arthur Jakobsson, Haoran Hao +1
Vision-Language-Action (VLA) models generalize across static manipulation but fail when objects move during task execution. They map the current observation to an action and assume…
Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation
Arthur Jakobsson, Abhinav Mahajan, Karthik Pullalarevu +6
Many robotic tasks are unforgiving; a single mistake in a dynamic throw can lead to unacceptable delays or unrecoverable failure. We introduce Wiggle and Go!, a two-stage framework…
Joint Learning of Depth, Pose, and Local Radiance Field for Large Scale Monocular 3D Reconstruction
Shahram Najam Syed, Yitian Hu, Yuchao Yao
Photorealistic 3-D reconstruction from monocular video collapses in large-scale scenes when depth, pose, and radiance are solved in isolation: scale-ambiguous depth yields ghost ge…
ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval
Shahram Najam Syed, Yatharth Ahuja, Arthur Jakobsson +1
Vision-Language-Action (VLA) models like OpenVLA demonstrate impressive zero-shot generalization across robotic manipulation tasks but struggle to adapt to specific deployment envi…
Visuo-Acoustic Hand Pose and Contact Estimation
Yuemin Mao, Uksang Yoo, Yunchao Yao +5
Accurately estimating hand pose and hand-object contact events is essential for robot data-collection, immersive virtual environments, and biomechanical analysis, yet remains chall…
SuperPoint-SLAM3: Augmenting ORB-SLAM3 with Deep Features, Adaptive NMS, and Learning-Based Loop Closure
Shahram Najam Syed, Ishir Roongta, Kavin Ravie +1
Visual simultaneous localization and mapping (SLAM) must remain accurate under extreme viewpoint, scale and illumination variations. The widely adopted ORB-SLAM3 falters in these r…
Learning by Aligning Videos in Time
Sanjay Haresh, Sateesh Kumar, Huseyin Coskun +4
We present a self-supervised approach for learning video representations using temporal video alignment as a pretext task, while exploiting both frame-level and video-level informa…
A Novel Hybrid Biometric Electronic Voting System: Integrating Finger Print and Face Recognition
Shahram Najam Syed, Aamir Zeb Shaikh, Shabbar Naqvi
A novel hybrid design based electronic voting system is proposed, implemented and analyzed. The proposed system uses two voter verification techniques to give better results in com…