← Authors

Pengchuan Zhang

41 papers · 2018–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) πŸ—ΊοΈ Taxonomy Completionist (75) πŸ”¬ Deep Specialist (10) πŸ† Grand Slam πŸ‘₯ Mega-Team (23) 🀝 Dynamic Duo (16) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (11) πŸ’Ž Century Club (41) πŸ—ƒοΈ Keyword Collector (156) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

NIPS (11) CVPR (9) ICCV (5) ICLR (4) AAAI (3) ECCV (3) EMNLP (2) ICML (2) IJCNLP (1) NAACL (1)

Top co-authors

Jianfeng Gao (16) Jianwei Yang (11) Lu Yuan (11) Chunyuan Li (9) Lei Zhang (9) Lijuan Wang (7) Xiyang Dai (7) Zhe Gan (6) Qiuyuan Huang (5) Bin Xiao (4)

Keywords

object detection (11) transfer learning (8) vision-language model (6) zero-shot learning (5) few-shot learning (4) image classification (4) adversarial robustness (3) image captioning (3) vision transformer (3) contrastive learning (3) generative adversarial network (3) attention mechanism (3) multimodal learning (3) adversarial training (2) stochastic gradient descent (2) text-to-image generation (2) computer vision (2) knowledge distillation (2) metric learning (2) visual question answering (2)

Papers

TLDR: Token-Level Detective Reward Model for Large Vision Language Models ICLR 2025
Revisiting the Role of Language Priors in Vision-Language Models ICML 2024
Evaluating Text-to-Visual Generation with Image-to-Text Generation ECCV 2024
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation CVPR 2024
Learning Video Context as Interleaved Multimodal Sequences ECCV 2024
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality EMNLP 2023
DIME-FM : DIstilling Multimodal and Efficient Foundation Models ICCV 2023
Parameter-Efficient Model Adaptation for Vision Transformers AAAI 2023
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding CVPR 2023
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone ICCV 2023
UniVTG: Towards Unified Video-Language Temporal Grounding ICCV 2023
Missingness Bias in Model Debugging ICLR 2022
3DB: A Framework for Debugging Computer Vision Models NIPS 2022
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models NIPS 2022
K-LITE: Learning Transferable Visual Models with External Knowledge NIPS 2022
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone NIPS 2022
GLIPv2: Unifying Localization and Vision-Language Understanding NIPS 2022
Grounded Language-Image Pre-Training CVPR 2022
RegionCLIP: Region-Based Language-Image Pretraining CVPR 2022
Unified Contrastive Learning in Image-Text-Label Space CVPR 2022
An Empirical Study of Training End-to-End Vision-and-Language Transformers CVPR 2022
Efficient Self-supervised Vision Transformers for Representation Learning ICLR 2022
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding ICCV 2021
Focal Attention for Long-Range Interactions in Vision Transformers NIPS 2021
Object-Centric Image Generation from Layouts AAAI 2021
Dynamic DETR: End-to-End Object Detection With Dynamic Attention ICCV 2021
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference ICML 2021
VinVL: Revisiting Visual Representations in Vision-Language Models CVPR 2021
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks ECCV 2020
Using Statistics to Automate Stochastic Optimization NIPS 2019
TIGEr: Text-to-Image Grounding for Image Caption Evaluation EMNLP 2019
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019
Object-Driven Text-To-Image Synthesis via Adversarial Training CVPR 2019
Understanding the Role of Momentum in Stochastic Gradient Methods NIPS 2019
Towards Coherent and Cohesive Long-form Text Generation NAACL 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NIPS 2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks NIPS 2019
TIGEr: Text-to-Image Grounding for Image Caption Evaluation IJCNLP 2019
Turbo Learning for CaptionBot and DrawingBot NIPS 2018
AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks CVPR 2018
On the Discrimination-Generalization Tradeoff in GANs ICLR 2018