Bo Liu

58

Papers

145

Total Citations

Papers (58)

Towards Surveillance Video-and-Language Understanding: New Dataset Baselines and Challenges

Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values

Longhorn: State Space Models are Amortized Online Learners

Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis

AMO Sampler: Enhancing Text Rendering with Overshooting

Using My Artistic Style? You Must Obtain My Authorization

Differentiable Information Enhanced Model-Based Reinforcement Learning

Improving Rectified Flow with Boundary Conditions

MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling

SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning

Focus Stacking with High Fidelity and Superior Visual Effects

Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition

Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection

Few-Shot Open-Set Recognition Using Meta-Learning

DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance

Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking

Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition

DLBD: A Self-Supervised Direct-Learned Binary Descriptor

Bayesian Model Adaptation for Crowd Counts

Sharpen Focus: Learning With Attention Separability and Consistency

Deep Transport Network for Unsupervised Video Object Segmentation

Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation

GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition

BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning

Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification

Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning

Hierarchical Spatio-Temporal Representation Learning for Gait Recognition

Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability

Scene-Aware Label Graph Learning for Multi-Label Image Classification

SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection

Meta-Learning with Network Pruning

Detecting Generated Images by Real Images

Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition

Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance

Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network

Layer-wise Vision Injection with Disentangled Attention for Efficient LVLMs

External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection

CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training

FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation

From Past to Future: Rethinking Eligibility Traces

Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology

Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping

Depth-aware Test-Time Training for Zero-shot Video Object Segmentation

Feature Space Transfer for Data Augmentation

Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization

Towards Playing Full MOBA Games with Deep Reinforcement Learning

Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks

Neural Auto-Curricula in Two-Player Zero-Sum Games

Conflict-Averse Gradient Descent for Multi-task learning

Machine versus Human Attention in Deep Reinforcement Learning Tasks

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

FAMO: Fast Adaptive Multitask Optimization

Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization