15 citations · 33 across the 7 of their papers we have counts for
10 papers
Empirical Recipes for Efficient and Compact Vision-Language Models
Jiabo Huang, Zhizhong Li, Sina Sajadmanesh +2
Deploying vision-language models (VLMs) in resource-constrained settings demands low latency and high throughput, yet existing compact VLMs often fall short of the inference speedu…
StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold
Zhizhong Li, Sina Sajadmanesh, Jingtao Li +1
Low-rank adaptation (LoRA) has been widely adopted as a parameter-efficient technique for fine-tuning large-scale pre-trained models. However, it still lags behind full fine-tuning…
ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Model
Weitai Kang, Weiming Zhuang, Zhizhong Li +2
Fine-grained multimodal capability in Multimodal Large Language Models (MLLMs) has emerged as a critical research direction, particularly for tackling the visual grounding (VG) pro…
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
Zhanghui Kuang, Hongbin Sun, Zhizhong Li +10
We present MMOCR-an open-source toolbox which provides a comprehensive pipeline for text detection and recognition, as well as their downstream tasks such as named entity recogniti…
Representation Consolidation for Training Expert Students
Zhizhong Li, Avinash Ravichandran, Charless Fowlkes +3
Traditionally, distillation has been used to train a student model to emulate the input/output functionality of a teacher. A more useful goal than emulation, yet under-explored, is…
Regularizing Reasons for Outfit Evaluation with Gradient Penalty
Xingxing Zou, Zhizhong Li, Ke Bai +2
In this paper, we build an outfit evaluation system which provides feedbacks consisting of a judgment with a convincing explanation. The system is trained in a supervised manner wh…