10 citations · 28 across the 6 of their papers we have counts for
6 papers
Analogical Reasoning for Visually Grounded Language Acquisition
Bo Wu, Haoyu Qin, Alireza Zareian +2
Children acquire language subconsciously by observing the surrounding world and listening to descriptions. They can discover the meaning of words even without explicit language kno…
Learning the Compositional Visual Coherence for Complementary Recommendations
Zhi Li, Bo Wu, Qi Liu +3
Complementary recommendations, which aim at providing users product suggestions that are supplementary and compatible with their obtained items, have become a hot topic in both aca…
General Partial Label Learning via Dual Bipartite Graph Autoencoder
Brian Chen, Bo Wu, Alireza Zareian +2
We formulate a practical yet challenging problem: General Partial Label Learning (GPLL). Compared to the traditional Partial Label Learning (PLL) problem, GPLL relaxes the supervis…
Theme-Matters: Fashion Compatibility Learning via Theme Attention
Jui-Hsin Lai, Bo Wu, Xin Wang +3
Fashion compatibility learning is important to many fashion markets such as outfit composition and online fashion recommendation. Unlike previous work, we argue that fashion compat…
Hard-Aware Fashion Attribute Classification
Yun Ye, Yixin Li, Bo Wu +3
Fashion attribute classification is of great importance to many high-level tasks such as fashion item search, fashion trend analysis, fashion recommendation, etc. The task is chall…
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning
Peiye Liu, Bo Wu, Huadong Ma +1
Recent studies on automatic neural architectures search have demonstrated significant performance, competitive to or even better than hand-crafted neural architectures. However, mo…