Jingjing Liu

27

Papers

580

Total Citations

Papers (27)

Generative Multimodal Models are In-Context Learners

Diffusion-Based Planning for Autonomous Driving with Flexible Guidance

Universal Actions for Enhanced Embodied Foundation Models

Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion

BachGAN: High-Resolution Image Synthesis From Salient Object Layout

Violin: A Large-Scale Dataset for Video-and-Language Inference

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling

Wasserstein Contrastive Representation Distillation

Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack

Relation-Aware Graph Attention Network for Visual Question Answering

Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models

UNITER: UNiversal Image-TExt Representation Learning

Adversarial Contrastive Learning via Asymmetric InfoNCE

UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training

CapsFusion: Rethinking Image-Text Data at Scale

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning

Language-Based Image Editing With Recurrent Attentive Models

StoryGAN: A Sequential Conditional GAN for Story Visualization

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation

Large-Scale Adversarial Training for Vision-and-Language Representation Learning

Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective

The Elastic Lottery Ticket Hypothesis

Idempotent Learned Image Compression with Right-Inverse

DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening