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Jiangning Zhang (张江宁) works as a Principal Researcher of two teams (Industry Perception and AIGC) at YouTu Lab, Tencent, Shanghai. I receive Ph.D. degree in College of Control Science and Engineering, Zhejiang University, Hangzhou, China, under the supervision of Prof. Yong Liu. My major is Computer Vision and my research interests include:
🌱 GAN-/Diffusion-based AIGC researches with LLM, e.g., multi-modal image/video generation, 2D/3D virtual digital human related researches (3D face/body/hand reconstruction, multi-modal digital human drive, motion generation, etc.), text-to-image generation, multi-modal human-centric editing and generation, etc.
🌱 Neural Architecture Design (NAD), e.g., transformer-based architecture, light-wight vision model, etc.
🌱 Anomaly Classification and Segmentation.

  • 💬 Feel free to drop me emails ([email protected]) if you have interests on above topics, and remote cooperations are welcomed.
  • 💬 You can contact me if you are applying for a Research Intern or a B.S./Ph.D. student in computer vision / robotic perception, and I co-supervise students with Prof. Yong Liu at Zhejiang University.
  • 💖 I love 📷photography, 🍲cooking, and 🌏traveling, enjoy together!!!!!!

Jiangning Zhang's github stats

Jiangning Zhang's Projects

ader icon ader

ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

apb2face icon apb2face

Official pytorch implementation for "APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals", ICASSP'20

apb2facev2 icon apb2facev2

An improved version of APB2Face: Real-Time Audio-Guided Multi-Face Reenactment

dtvnet icon dtvnet

DTVNet: Dynamic Time-lapse Video Generation via Single Still Image, ECCV'20 Spotlight.

eatformer icon eatformer

EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm

emo icon emo

[ICCV 2023] Official PyTorch implementation of "Rethinking Mobile Block for Efficient Attention-based Models"

freenet icon freenet

FReeNet: Multi-Identity Face Reenactment, CVPR'20

gpt-4v-ad icon gpt-4v-ad

Code for "Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection"

ocr-gan icon ocr-gan

[TIP 2023] Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection

trackingimglabel icon trackingimglabel

TrackingImgLabel is an automatic graphical image annotation tool with a video as input, which uses tracking algorithm to track the object. You can only label the first frame of the video, then the tracking algorithm will automaticlly tracking the objects.

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