activity
20202025
most citedChained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

32 citations · 38 across the 5 of their papers we have counts for

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29 papers · 1 filter

cs.CV2025

Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models

Yuansen Liu, Haiming Tang, Jinlong Peng +12

Multimodal Large Language Models (MLLMs) have demonstrated significant advances in visual understanding tasks. However, their capacity to comprehend human-centric scenes has rarely…

cs.CV2025

DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning

Jiawei Zhan, Jun Liu, Jinlong Peng +4

With the excellent representation capabilities of Pre-Trained Models (PTMs), remarkable progress has been made in non-rehearsal Class-Incremental Learning (CIL) research. However,…

cs.CV2025

PiT: Progressive Diffusion Transformer

Jiafu Wu, Yabiao Wang, Jian Li +4

Diffusion Transformers (DiTs) achieve remarkable performance within image generation via the transformer architecture. Conventionally, DiTs are constructed by stacking serial isotr…

cs.CV20241 cited

DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation

Qingdong He, Jinlong Peng, Pengcheng Xu +8

To enhance the controllability of text-to-image diffusion models, current ControlNet-like models have explored various control signals to dictate image attributes. However, existin…

cs.CV20241 cited

FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on

Boyuan Jiang, Xiaobin Hu, Donghao Luo +7

Although image-based virtual try-on has made considerable progress, emerging approaches still encounter challenges in producing high-fidelity and robust fitting images across diver…

cs.CV2024

Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation

Ying Jin, Jinlong Peng, Qingdong He +8

The performance of anomaly inspection in industrial manufacturing is constrained by the scarcity of anomaly data. To overcome this challenge, researchers have started employing ano…