activity
20162026
most citedPain Intensity Estimation from Mobile Video Using 2D and 3D Facial Keypoints

8 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2026

Personalizing Incremental Video Search with Hybrid Text and ID Embeddings

Vivek Kanojiya, Vishalaksh Aggarwal, Daeho Baek +2

Incremental video search requires high-quality ranking after each keystroke, where intent is often underspecified (e.g., 1-3 character prefixes). We present a personalization syste…

cs.CV2020★ 8 cited

Pain Intensity Estimation from Mobile Video Using 2D and 3D Facial Keypoints

Matthew Lee, Lyndon Kennedy, Andreas Girgensohn +4

Managing post-surgical pain is critical for successful surgical outcomes. One of the challenges of pain management is accurately assessing the pain level of patients. Self-reported…

cs.HC2020

Automatic Photo to Ideophone Manga Matching

David A. Shamma, Tony Dunnigan, Lyndon Kennedy

Photo applications offer tools for annotation via text and stickers. Ideophones, mimetic and onomatopoeic words, which are common in graphic novels, have yet to be explored for pho…

cs.CV2016

Visual Congruent Ads for Image Search

Yannis Kalantidis, Ayman Farahat, Lyndon Kennedy +2

The quality of user experience online is affected by the relevance and placement of advertisements. We propose a new system for selecting and displaying visual advertisements in im…

cs.CV2016★ 2 cited

LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing

Yannis Kalantidis, Lyndon Kennedy, Huy Nguyen +2

We propose a novel hashing-based matching scheme, called Locally Optimized Hashing (LOH), based on a state-of-the-art quantization algorithm that can be used for efficient, large-s…