829 citations · 936 across the 14 of their papers we have counts for
14 papers
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding
Tianrui Hui, Zihan Ding, Junshi Huang +5
Panoptic narrative grounding (PNG) aims to segment things and stuff objects in an image described by noun phrases of a narrative caption. As a multimodal task, an essential aspect…
DiT: Efficient Vision Transformers with Dynamic Token Routing
Yuchen Ma, Zhengcong Fei, Junshi Huang
Recently, the tokens of images share the same static data flow in many dense networks. However, challenges arise from the variance among the objects in images, such as large variat…
Gradient-Free Textual Inversion
Zhengcong Fei, Mingyuan Fan, Junshi Huang
Recent works on personalized text-to-image generation usually learn to bind a special token with specific subjects or styles of a few given images by tuning its embedding through g…
EfficientRep:An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design
Kaiheng Weng, Xiangxiang Chu, Xiaoming Xu +2
We present a hardware-efficient architecture of convolutional neural network, which has a repvgg-like architecture. Flops or parameters are traditional metrics to evaluate the effi…
Uncertainty-Aware Image Captioning
Zhengcong Fei, Mingyuan Fan, Li Zhu +3
It is well believed that the higher uncertainty in a word of the caption, the more inter-correlated context information is required to determine it. However, current image captioni…
Meta-Ensemble Parameter Learning
Zhengcong Fei, Shuman Tian, Junshi Huang +2
Ensemble of machine learning models yields improved performance as well as robustness. However, their memory requirements and inference costs can be prohibitively high. Knowledge d…