929 citations · 1.3k across the 24 of their papers we have counts for
25 papers
Improving Entropy-Based Test-Time Adaptation from a Clustering View
Guoliang Lin, Hanjiang Lai, Yan Pan +1
Domain shift is a common problem in the realistic world, where training data and test data follow different data distributions. To deal with this problem, fully test-time adaptatio…
Ranking-aware Uncertainty for Text-guided Image Retrieval
Junyang Chen, Hanjiang Lai
Text-guided image retrieval is to incorporate conditional text to better capture users' intent. Traditionally, the existing methods focus on minimizing the embedding distances betw…
From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base
Wangzhen Guo, Linyin Luo, Hanjiang Lai +1
Parsing questions into executable logical forms has showed impressive results for knowledge-base question answering (KBQA). However, complex KBQA is a more challenging task that re…
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning
Wangzhen Guo, Qinkang Gong, Hanjiang Lai
Multi-hop QA requires reasoning over multiple supporting facts to answer the question. However, the existing QA models always rely on shortcuts, e.g., providing the true answer by…
Revisiting Few-Shot Learning from a Causal Perspective
Guoliang Lin, Yongheng Xu, Hanjiang Lai +1
Few-shot learning with -way -shot scheme is an open challenge in machine learning. Many metric-based approaches have been proposed to tackle this problem, e.g., the Matching…
ViT2Hash: Unsupervised Information-Preserving Hashing
Qinkang Gong, Liangdao Wang, Hanjiang Lai +2
Unsupervised image hashing, which maps images into binary codes without supervision, is a compressor with a high compression rate. Hence, how to preserving meaningful information o…
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector
Guoliang Lin, Hanlu Chu, Hanjiang Lai
Plasticity-stability dilemma is a main problem for incremental learning, where plasticity is referring to the ability to learn new knowledge, and stability retains the knowledge of…
Controllable Face Aging
Haien Zeng, Hanjiang Lai, Jian Yin
Motivated by the following two observations: 1) people are aging differently under different conditions for changeable facial attributes, e.g., skin color may become darker when wo…
Modal-aware Features for Multimodal Hashing
Haien Zeng, Hanjiang Lai, Hanlu Chu +2
Many retrieval applications can benefit from multiple modalities, e.g., text that contains images on Wikipedia, for which how to represent multimodal data is the critical component…
Simultaneous Region Localization and Hash Coding for Fine-grained Image Retrieval
Haien Zeng, Hanjiang Lai, Jian Yin
Fine-grained image hashing is a challenging problem due to the difficulties of discriminative region localization and hash code generation. Most existing deep hashing approaches so…
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning
Runsheng Yu, Zhenyu Shi, Xinrun Wang +5
Existing value-factorized based Multi-Agent deep Reinforce-ment Learning (MARL) approaches are well-performing invarious multi-agent cooperative environment under thecen-tralized t…
Feature Pyramid Hashing
Yifan Yang, Libing Geng, Hanjiang Lai +2
In recent years, deep-networks-based hashing has become a leading approach for large-scale image retrieval. Most deep hashing approaches use the high layer to extract the powerful…
Towards Multi-pose Guided Virtual Try-on Network
Haoye Dong, Xiaodan Liang, Bochao Wang +3
Virtual try-on system under arbitrary human poses has huge application potential, yet raises quite a lot of challenges, e.g. self-occlusions, heavy misalignment among diverse poses…
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis
Haoye Dong, Xiaodan Liang, Ke Gong +3
Despite remarkable advances in image synthesis research, existing works often fail in manipulating images under the context of large geometric transformations. Synthesizing person…
Improving Deep Binary Embedding Networks by Order-aware Reweighting of Triplets
Jikai Chen, Hanjiang Lai, Libing Geng +1
In this paper, we focus on triplet-based deep binary embedding networks for image retrieval task. The triplet loss has been shown to be most effective for the ranking problem. Howe…
Regularizing Deep Hashing Networks Using GAN Generated Fake Images
Libing Geng, Yan Pan, Jikai Chen +1
Recently, deep-networks-based hashing (deep hashing) has become a leading approach for large-scale image retrieval. It aims to learn a compact bitwise representation for images via…
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks
Siyu Zhou, Weiqiang Zhao, Jiashi Feng +4
Face age progression, which aims to predict the future looks, is important for various applications and has been received considerable attentions. Existing methods and datasets are…
HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval
Xi Zhang, Siyu Zhou, Jiashi Feng +5
As the rapid growth of multi-modal data, hashing methods for cross-modal retrieval have received considerable attention. Deep-networks-based cross-modal hashing methods are appeali…
Transductive Zero-Shot Hashing via Coarse-to-Fine Similarity Mining
Hanjiang Lai, Yan Pan
Zero-shot Hashing (ZSH) is to learn hashing models for novel/target classes without training data, which is an important and challenging problem. Most existing ZSH approaches explo…
Improved Search in Hamming Space using Deep Multi-Index Hashing
Hanjiang Lai, Yan Pan
Similarity-preserving hashing is a widely-used method for nearest neighbour search in large-scale image retrieval tasks. There has been considerable research on generating efficien…
Personalized Age Progression with Bi-level Aging Dictionary Learning
Xiangbo Shu, Jinhui Tang, Zechao Li +3
Age progression is defined as aesthetically re-rendering the aging face at any future age for an individual face. In this work, we aim to automatically render aging faces in a pers…
Instance-Aware Hashing for Multi-Label Image Retrieval
Hanjiang Lai, Pan Yan, Xiangbo Shu +2
Similarity-preserving hashing is a commonly used method for nearest neighbour search in large-scale image retrieval. For image retrieval, deep-networks-based hashing methods are ap…
Personalized Age Progression with Aging Dictionary
Xiangbo Shu, Jinhui Tang, Hanjiang Lai +2
In this paper, we aim to automatically render aging faces in a personalized way. Basically, a set of age-group specific dictionaries are learned, where the dictionary bases corresp…
Deep Recurrent Regression for Facial Landmark Detection
Hanjiang Lai, Shengtao Xiao, Yan Pan +5
We propose a novel end-to-end deep architecture for face landmark detection, based on a deep convolutional and deconvolutional network followed by carefully designed recurrent netw…