Rohun Tripathi
  • Bio
  • Papers
  • Projects
  • Publications
    • MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation
    • MolmoPoint: Better Pointing for VLMs with Grounding Tokens
    • Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding
    • VideoNet: A Large-Scale Dataset for Domain-Specific Action Recognition
    • SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning
    • HinTel-AlignBench: A Framework and Benchmark for Hindi-Telugu with English-Aligned Samples
    • Unified Spatio-Temporal Token Scoring for Efficient Video VLMs
    • Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
    • SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning
    • MODEFORMER: Modality-Preserving Embedding For Audio-Video Synchronization Using Transformers
    • ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
    • RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks
    • Automatic Generation and Evaluation of Usable and Secure Audio reCAPTCHA
    • Semantic Segmentation with Scarce Data
    • Enterprise Scale Privacy Aware Occupancy Sensing
  • Projects
  • Projects
    • Single-View Height Map Prediction for Satellite Imagery
    • clear.ai: Aiding visually impaired users
    • Handwriting recognition for medical archives
    • Path Planning in Ellipsoidal Configuration Space using Silhouette method
    • Using Programming by Demonstration and Dynamical Systems for Robot Learning

clear.ai: Aiding visually impaired users

Jul 1, 2018·
Clear.ai Team
· 0 min read
PDF Code Video
Abstract
We used computer vision to complement the remaining vision of people with low vision to help them be the most productive in life’s daily activities.
Last updated on Jul 1, 2018
AI for Healthcare

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