113 citations · 116 across the 9 of their papers we have counts for
9 papers
Consistent Instance Field for Dynamic Scene Understanding
Junyi Wu, Van Nguyen Nguyen, Benjamin Planche +11
We introduce Consistent Instance Field, a continuous and probabilistic spatio-temporal representation for dynamic scene understanding. Unlike prior methods that rely on discrete tr…
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs
Huiyi Chen, Jiawei Peng, Dehai Min +5
Evaluating the robustness of Large Vision-Language Models (LVLMs) is essential for their continued development and responsible deployment in real-world applications. However, exist…
Semantic-Cohesive Knowledge Distillation for Deep Cross-modal Hashing
Changchang Sun, Vickie Chen, Yan Yan
Recently, deep supervised cross-modal hashing methods have achieve compelling success by learning semantic information in a self-supervised way. However, they still suffer from the…
Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model
Changchang Sun, Gaowen Liu, Charles Fleming +1
Conditional diffusion models have gained increasing attention since their impressive results for cross-modal synthesis, where the strong alignment between conditioning input and ge…
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Changchang Sun, Ren Wang, Yihua Zhang +5
Machine unlearning (MU), which seeks to erase the influence of specific unwanted data from already-trained models, is becoming increasingly vital in model editing, particularly to…
Visual Grounding with Attention-Driven Constraint Balancing
Weitai Kang, Luowei Zhou, Junyi Wu +2
Unlike Object Detection, Visual Grounding task necessitates the detection of an object described by complex free-form language. To simultaneously model such complex semantic and vi…
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Hao Ding, Changchang Sun, Hao Tang +2
Recently, due to the increasing requirements of medical imaging applications and the professional requirements of annotating medical images, few-shot learning has gained increasing…
Semi-Supervised Video Inpainting with Cycle Consistency Constraints
Zhiliang Wu, Hanyu Xuan, Changchang Sun +2
Deep learning-based video inpainting has yielded promising results and gained increasing attention from researchers. Generally, these methods usually assume that the corrupted regi…
User Diverse Preference Modeling by Multimodal Attentive Metric Learning
Fan Liu, Zhiyong Cheng, Changchang Sun +3
Most existing recommender systems represent a user's preference with a feature vector, which is assumed to be fixed when predicting this user's preferences for different items. How…