8 citations · 9 across the 4 of their papers we have counts for
5 papers
SVR-R1: Bootstrapping Multi-modal Reasoning with Self-verification in Reinforcement Learning
Mingyuan Wu, Jingcheng Yang, Shengyi Qian +11
We introduce Self-Verified Reasoner (SVR-R1), a multi-turn RL framework that turns a model's own verification into a learning signal for multimodal reasoning. For each query, the m…
Unified Framework for Open-World Compositional Zero-shot Learning
Hirunima Jayasekara, Khoi Pham, Nirat Saini +1
Open-World Compositional Zero-Shot Learning (OW-CZSL) addresses the challenge of recognizing novel compositions of known primitives and entities. Even though prior works utilize la…
Composing Object Relations and Attributes for Image-Text Matching
Khoi Pham, Chuong Huynh, Ser-Nam Lim +1
We study the visual semantic embedding problem for image-text matching. Most existing work utilizes a tailored cross-attention mechanism to perform local alignment across the two i…
Disentangling Visual Embeddings for Attributes and Objects
Nirat Saini, Khoi Pham, Abhinav Shrivastava
We study the problem of compositional zero-shot learning for object-attribute recognition. Prior works use visual features extracted with a backbone network, pre-trained for object…
Learning to Predict Visual Attributes in the Wild
Khoi Pham, Kushal Kafle, Zhe Lin +4
Visual attributes constitute a large portion of information contained in a scene. Objects can be described using a wide variety of attributes which portray their visual appearance…