◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Faraz Waseem

4 papers hereh-index 221 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedVisual anomaly detection in video by variational autoencoder

4 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Video Is Worth a Thousand Images: Exploring the Latest Trends in Long Video Generation

Faraz Waseem, Muhammad Shahzad

An image may convey a thousand words, but a video composed of hundreds or thousands of image frames tells a more intricate story. Despite significant progress in multimodal large l…

cs.CV2023★ 1 cited

Semi Supervised Meta Learning for Spatiotemporal Learning

Faraz Waseem, Pratyush Muthukumar

We approached the goal of applying meta-learning to self-supervised masked autoencoders for spatiotemporal learning in three steps. Broadly, we seek to understand the impact of app…

cs.AI2022★ 1 cited

VizInspect Pro -- Automated Optical Inspection (AOI) solution

Faraz Waseem, Sanjit Menon, Haotian Xu +1

Traditional vision based Automated Optical Inspection (referred to as AOI in paper) systems present multiple challenges in factory settings including inability to scale across mult…

cs.CV2022★ 4 cited

Visual anomaly detection in video by variational autoencoder

Faraz Waseem, Rafael Perez Martinez, Chris Wu

Video anomalies detection is the intersection of anomaly detection and visual intelligence. It has commercial applications in surveillance, security, self-driving cars and crop mon…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.