25 citations · 42 across the 6 of their papers we have counts for
6 papers
Grid2Matrix: Revealing Digital Agnosia in Vision-Language Models
Yunkai Zhang, Linda Li, Yingxin Cui +5
Vision-Language Models (VLMs) excel on many multimodal reasoning benchmarks, but these evaluations often do not require an exhaustive readout of the image and can therefore obscure…
Hybrid Primal Sketch: Combining Analogy, Qualitative Representations, and Computer Vision for Scene Understanding
Kenneth D. Forbus, Kezhen Chen, Wangcheng Xu +1
One of the purposes of perception is to bridge between sensors and conceptual understanding. Marr's Primal Sketch combined initial edge-finding with multiple downstream processes t…
Tackling Vision Language Tasks Through Learning Inner Monologues
Diji Yang, Kezhen Chen, Jinmeng Rao +4
Visual language tasks require AI models to comprehend and reason with both visual and textual content. Driven by the power of Large Language Models (LLMs), two prominent methods ha…
LOWA: Localize Objects in the Wild with Attributes
Xiaoyuan Guo, Kezhen Chen, Jinmeng Rao +3
We present LOWA, a novel method for localizing objects with attributes effectively in the wild. It aims to address the insufficiency of current open-vocabulary object detectors, wh…
Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural Representations
Kezhen Chen, Qiuyuan Huang, Hamid Palangi +3
Generating formal-language programs represented by relational tuples, such as Lisp programs or mathematical operations, to solve problems stated in natural language is a challengin…
Who are the Devils Wearing Prada in New York City?
KuanTing Chen, Kezhen Chen, Peizhong Cong +2
Fashion is a perpetual topic in human social life, and the mass has the penchant to emulate what large city residents and celebrities wear. Undeniably, New York City is such a bell…