Pengchuan Zhang
40 papers · 2018–2025 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(15)
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(10)
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Conference Pioneer
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Research topics
Machine Learning
(26)
Deep Learning
(22)
Computer Vision
(19)
Artificial Intelligence
(17)
Core AI Β· Artificial Intelligence
(16)
Learning Types Β· Machine Learning
(14)
Learning Types Β· Deep Learning
(11)
Analysis
(10)
Architectures
(9)
Optimization & Theory
(8)
Application Areas
(7)
Natural Language Processing
(6)
Core AI Β· Computer Vision
(6)
Core Methods
(6)
Models
(6)
Keywords
object detection
(11)
transfer learning
(8)
vision-language model
(7)
zero-shot learning
(5)
vision transformer
(4)
multimodal learning
(4)
few-shot learning
(4)
generative adversarial network
(4)
image classification
(4)
adversarial robustness
(3)
contrastive learning
(3)
attention mechanism
(3)
language-image pretraining
(3)
computer vision
(3)
image captioning
(3)
stochastic gradient descent
(2)
adversarial training
(2)
text-to-image generation
(2)
knowledge distillation
(2)
semantic segmentation
(2)
Papers
TLDR: Token-Level Detective Reward Model for Large Vision Language Models
ICLR 2025
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation
CVPR 2024
Evaluating Text-to-Visual Generation with Image-to-Text Generation
ECCV 2024
Learning Video Context as Interleaved Multimodal Sequences
ECCV 2024
Revisiting the Role of Language Priors in Vision-Language Models
ICML 2024
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality
EMNLP 2023
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
CVPR 2023
DIME-FM : DIstilling Multimodal and Efficient Foundation Models
ICCV 2023
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone
ICCV 2023
Parameter-Efficient Model Adaptation for Vision Transformers
AAAI 2023
UniVTG: Towards Unified Video-Language Temporal Grounding
ICCV 2023
3DB: A Framework for Debugging Computer Vision Models
NeurIPS 2022
An Empirical Study of Training End-to-End Vision-and-Language Transformers
CVPR 2022
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
NeurIPS 2022
Efficient Self-supervised Vision Transformers for Representation Learning
ICLR 2022
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
NeurIPS 2022
GLIPv2: Unifying Localization and Vision-Language Understanding
NeurIPS 2022
Grounded Language-Image Pre-Training
CVPR 2022
K-LITE: Learning Transferable Visual Models with External Knowledge
NeurIPS 2022
Missingness Bias in Model Debugging
ICLR 2022
RegionCLIP: Region-Based Language-Image Pretraining
CVPR 2022
Unified Contrastive Learning in Image-Text-Label Space
CVPR 2022
Dynamic DETR: End-to-End Object Detection With Dynamic Attention
ICCV 2021
Focal Attention for Long-Range Interactions in Vision Transformers
NeurIPS 2021
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
ICML 2021
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding
ICCV 2021
Object-Centric Image Generation from Layouts
AAAI 2021
VinVL: Revisiting Visual Representations in Vision-Language Models
CVPR 2021
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
ECCV 2020
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
NeurIPS 2019
Object-Driven Text-To-Image Synthesis via Adversarial Training
CVPR 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
NeurIPS 2019
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications
AAAI 2019
TIGEr: Text-to-Image Grounding for Image Caption Evaluation
EMNLP 2019
Towards Coherent and Cohesive Long-form Text Generation
NAACL 2019
Understanding the Role of Momentum in Stochastic Gradient Methods
NeurIPS 2019
Using Statistics to Automate Stochastic Optimization
NeurIPS 2019
AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks
CVPR 2018
On the Discrimination-Generalization Tradeoff in GANs
ICLR 2018
Turbo Learning for CaptionBot and DrawingBot
NeurIPS 2018