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20212026
most citedSemi-Supervising Learning, Transfer Learning, and Knowledge Distillation with SimCLR

6 citations · 9 across the 6 of their papers we have counts for

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6 papers

cs.CV2026

Show, Don't Ask: Generative Visual Disambiguation for Composed Image Retrieval with Turn-Valid Coverage

Amsisan Tran, Baogh Le, Tuan Kiet Pham +1

Composed image retrieval (CIR) uses a reference image and a text modification to search for a target image. However, such queries often describe several possible images rather than…

cs.CV2026

Resolving Ambiguity in Composed Image Retrieval via Calibrated Interaction

Amsisan Tran, Baogh Le, Tuan Kiet Pham +1

Composed image retrieval (CIR) searches a corpus with a reference image and a text describing how to modify it. Despite rapid progress from triplet-trained compositors to zero-shot…

cs.CV2026

RelWitness: Open-Vocabulary 3D Scene Graph Generation with Visual-Geometric Relation Witnesses

Minh Anh Nguyen, Quang Huy Tran, Bao Ngoc Le +2

Open-vocabulary 3D scene graph generation seeks to describe object instances and their relations with flexible natural-language predicates. The central difficulty is not only vocab…

cs.CV2026

ScriptHOI: Learning Scripted State Transitions for Open-Vocabulary Human-Object Interaction Detection

Minh Anh Nguyen, Quang Huy Tran, Bao Ngoc Le +3

Open-vocabulary human-object interaction (HOI) detection requires recognizing interaction phrases that may not appear as annotated categories during training. Recent vision-languag…

q-bio.NC2023★ 3 cited

Learning temporal relationships between symbols with Laplace Neural Manifolds

Marc W. Howard, Zahra G. Esfahani, Bao Le +1

Firing across populations of neurons in many regions of the mammalian brain maintains a temporal memory, a neural timeline of the recent past. Behavioral results demonstrate that p…

cs.CV2021★ 6 cited

Semi-Supervising Learning, Transfer Learning, and Knowledge Distillation with SimCLR

Khoi Nguyen, Yen Nguyen, Bao Le

Recent breakthroughs in the field of semi-supervised learning have achieved results that match state-of-the-art traditional supervised learning methods. Most successful semi-superv…