activity
20212026
most citedOne Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective

13 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

OneHOI: Unifying Human-Object Interaction Generation and Editing

Jiun Tian Hoe, Weipeng Hu, Xudong Jiang +2

Human-Object Interaction (HOI) modelling captures how humans act upon and relate to objects, typically expressed as <person, action, object> triplets. Existing approaches split int…

cs.GR2025

Reference-free Human-Object Interaction Editing

Jiun Tian Hoe, Weipeng Hu, Wei Zhou +5

This paper presents InteractEdit, a novel framework for reference-free Human-Object Interaction (HOI) editing that tackles the challenging task of transforming an existing interact…

cs.CV2023★ 1 cited

InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models

Jiun Tian Hoe, Xudong Jiang, Chee Seng Chan +2

Large-scale text-to-image (T2I) diffusion models have showcased incredible capabilities in generating coherent images based on textual descriptions, enabling vast applications in c…

cs.CV2023

Unsupervised Hashing with Similarity Distribution Calibration

Kam Woh Ng, Xiatian Zhu, Jiun Tian Hoe +4

Unsupervised hashing methods typically aim to preserve the similarity between data points in a feature space by mapping them to binary hash codes. However, these methods often over…

cs.CV2021★ 13 cited

One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective

Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang +3

A deep hashing model typically has two main learning objectives: to make the learned binary hash codes discriminative and to minimize a quantization error. With further constraints…