1 citations · 1 across the 10 of their papers we have counts for
11 papers
InterHier: Learning Interconnected Hierarchical Semantics for Open-Vocabulary Object Detection
Yeong-Jin Kim, Ho-Joong Kim, Seong-Whan Lee
In this paper, we investigate the limitations of fixed, hand-crafted connectors in hierarchical semantic representations for open-vocabulary object detection. Existing methods esta…
TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection
Yearang Lee, Ho-Joong Kim, Seong-Whan Lee
Zero-Shot Temporal Action Detection (ZSTAD) aims to lo- calize and recognize action instances from unseen action categories in untrimmed videos. Although existing meth- ods have sh…
DiCE-CIR: Direct Composition Learning for Efficient Zero-Shot Composed Image Retrieval
Gwang-Ho Na, Ho-Joong Kim, Seong-Whan Lee
Zero-shot composed image retrieval (ZS-CIR) aims to retrieve a target image from a multimodal query consisting of a reference image and an edit text describing the desired modifica…
ProCal: Inference-Time Proposal Calibration for Open-Vocabulary Object Detection
Jae-Ryung Hong, Ho-Joong Kim, Seong-Whan Lee
Open-vocabulary object detection aims to localize and classify objects beyond the fixed set of categories seen dur ing training. Recent open-vocabulary object detection methods imp…
ClipTBP: Clip-Pair based Temporal Boundary Prediction with Boundary-Aware Learning for Moment Retrieval
Ji-Hyeon Kim, Ho-Joong Kim, Seong-Whan Lee
Video moment retrieval is the task of retrieving specific segments of a video corresponding to a given text query. Recent studies have been conducted to improve multimodal alignmen…
FIQ: Fundamental Question Generation with the Integration of Question Embeddings for Video Question Answering
Ju-Young Oh, Ho-Joong Kim, Seong-Whan Lee
Video question answering (VQA) is a multimodal task that requires the interpretation of a video to answer a given question. Existing VQA methods primarily utilize question and answ…
Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers
Jung-Ho Hong, Ho-Joong Kim, Kyu-Sung Jeon +1
The feature attribution method reveals the contribution of input variables to the decision-making process to provide an attribution map for explanation. Existing methods grounded o…
DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer
Ho-Joong Kim, Yearang Lee, Jung-Ho Hong +1
In this paper, we examine a key limitation in query-based detectors for temporal action detection (TAD), which arises from their direct adaptation of originally designed architectu…
MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval
Yeong-Joon Ju, Ho-Joong Kim, Seong-Whan Lee
Recent multimodal retrieval methods have endowed text-based retrievers with multimodal capabilities by utilizing pre-training strategies for visual-text alignment. They often direc…
TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression
Ho-Joong Kim, Jung-Ho Hong, Heejo Kong +1
In this paper, we investigate that the normalized coordinate expression is a key factor as reliance on hand-crafted components in query-based detectors for temporal action detectio…
Offline-to-Online Knowledge Distillation for Video Instance Segmentation
Hojin Kim, Seunghun Lee, Sunghoon Im
In this paper, we present offline-to-online knowledge distillation (OOKD) for video instance segmentation (VIS), which transfers a wealth of video knowledge from an offline model t…